Principal Responsibilities: The role holder will conduct customer strategy analysis focusing on acquisition, activation, retention, conversion, and LTV, and deliver actionable insights. Build and maintain customer segmentation frameworks to support targeted and personalized marketing and operations. Leverage advanced data analytics tools and methodologies to develop, validate, and optimize predictive models, contributing to generate high-quality leads. Analyze customer journey, conversion funnels, and drop-off points to identify bottlenecks and recommend experience improvements. Evaluate the performance of marketing campaigns, membership programs, loyalty initiatives, and promotional strategies by measuring ROI, conversion rate, and engagement metrics. Partner with product, marketing, operations, and customer teams to translate data insights into executable strategies and drive business decisions. Support the business team's campaign needs, including RM lead generation and manual SMS outreach. Develop and maintain customer-focused dashboards, KPIs, and reporting systems.

To be successful in the role, you should meet the following requirements: Minimum of 5 years' experience in one or multiple skills in data/business analytics in the financial or digital domains. Demonstrated experience in process and analysis of large amounts of data using one of these: Python, R, SQL, or SAS; on environments such as AWS, Google Cloud, or Hadoop. Knowledge and experience in AI, big data, machine learning, or predictive algorithms, statistics modeling, and data mining. Excellent communication and teamwork skills, able to collaborate effectively with different departments and stakeholders. Strong problem-solving skills and innovative thinking, able to translate complex business problems into data analytics solutions. Proven experience in one or more of: customer segmentation, digital marketing, data science, portfolio analytics, use of open-source data in analyses. Good English communication skills, able to collaborate effectively with domestic and international teams.

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As a software engineer on our data infrastructure team, you'll design, build, and operate scalable, fault-tolerant infrastructure for LLM Research: distributed compute, data orchestration, and storage across modalities. You'll develop high-throughput systems for data ingestion, processing, and transformation , including training data catalogs, deduplication, quality checks, and search. You'll also build systems for traceability, reproducibility, and robust quality control at every stage of the data lifecycle.

You'll collaborate with research teams to unlock new features, improve data quality, and accelerate training cycles. You'll implement and maintain monitoring and alerting to support platform reliability and performance.

If you're excited by distributed systems, large-scale data mining, open-source tools like Spark, Kafka, Beam, Ray, and Delta Lake, and enjoy building from the ground up, we'd love to hear from you.

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Your primary focus will be on providing rock-solid content investment tracking and analysis at the international level. You will partner with regional finance directors to understand content budget trends and variances, complete deep dives and analysis as needed, and develop and maintain robust reporting processes and tooling to scale across a growing business.

You will also own various content investment economic deep dives and general reporting up to world-wide level.

To succeed in this role, you will need to have a strong proficiency in financial planning and analysis (FP&A) and financial modeling, as well as a transactional, commercial finance background.

Based in our London office, you will work in a dynamic and exciting environment where innovating on behalf of our customers is at the heart of everything we do.

Responsibilities:

• Lead content spend planning cycles and processes across the international Prime Video business
• Partner with regional finance directors to understand content budget trends and variances, complete deep dives and analysis as needed
• Develop and maintain robust reporting processes and tooling to scale across a growing business
• Own various content investment economic deep dives and general reporting up to world-wide level

Basic Qualifications:

• Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in a quantitative role (engineering, process re-engineering, quality assurance)
• Experience in tax, finance or a related analytical field
• Experience applying key financial performance indicators (KPIs) to analyses
• Experience in creating process improvements with automation and analysis
• Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
• Experience with advanced use of SQL for data mining and business intelligence

Preferred Qualifications:

• MBA, or CPA
• Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

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Key responsibilities include representing the EMEA Accounting team, leading and driving various meetings with senior management on key financial statement areas, and owning the monthly, quarterly, and annual closes for the EMEA operations. You will also drive standardization and continuous improvement of processes and controls to obtain the highest integrity of financial reporting.

To succeed in this role, you will need a Bachelor's degree in engineering, statistics, or business, or a Bachelor's degree and experience in a quantitative role. You will also need experience in tax, finance, or a related analytical field, as well as experience in multiple finance and accounting roles. Proficiency in SQL/ETL and experience working with large-scale data mining and reporting tools are preferred.

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Your responsibilities will include driving standardization and continuous improvement of processes and controls to obtain the highest integrity of financial reporting, including partnering with stakeholders for a successful end-to-end approach to reporting. You will also deliver functional projects on a cross-country level, such as implementing best accounting/controllership practice to enhance and deepen the control environment.

As a Finance Manager, you will ensure that our EMEA Accounting activities are aligned across the Worldwide Accounting Organization and influence and articulate accounting/finance terminology to the non-finance community. You will also support internal and external audit processes.

To succeed in this role, you will need a Bachelor's degree in engineering, statistics, or business, or a Bachelor's degree and experience in a quantitative role. You will also need experience in tax, finance, or a related analytical field, as well as experience in multiple finance and accounting roles.

Preferred qualifications include knowledge of SQL/ETL, experience in identifying incomplete or inaccurate data, and experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations.

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This role requires a strong analytical and problem-solving skillset, with the ability to work with multiple stakeholders and prioritize tasks effectively. The ideal candidate will have a strong understanding of IT service management principles and practices, as well as experience with data analysis and reporting tools such as PowerBI and Excel.

Responsibilities:

• Design and develop metrics and reports using data from Helix, and other data sources
• Assist Service Management Analysts and technology partners in defining requirements for metrics and reports
• Support and enhance existing metrics and reports
• Support and enhance the Helix (SQL server) data mart
• Act as a liaison to the Data and Analytics reporting team for support and requirements
• Analyze data for trends, root cause, and performance issues
• Validate data accuracy
• Identify and troubleshoot data issues
• Work with vendors as appropriate to resolve data issues or discuss requirements
• Identify metrics and reports that will help improve TO processes
• Track and report status of metrics and reporting projects

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Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon's world-class fulfillment engine. Our team is building complex, massive data systems to capture data during every step in the automated pipeline and use that data to proactively predict efficiency and cost improvements to deliver the packages fast to our customers.

We are currently in search of a brilliant, self-driven, and seasoned BIE II to join our team. In this role, you will have the opportunity to work on building scalable solutions, including extensive data models and complex ETL pipelines and utilize your expertise to raise the bar on data timeliness, discoverability and availability of the same.

Key Job Responsibilities

• Own the development, and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of our business
• Partner with Product Managers and business teams to consult, develop and implement KPI’s, automated reporting solutions and infrastructure improvements to meet business needs
• Develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support business needs
• Perform both ad-hoc and strategic analyses
• Strong verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams.

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modeling, warehousing and building ETL pipelines
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

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This role will be responsible for leading and optimising the financial planning and analysis processes for GREF, ensuring accurate cost distribution, driving financial transparency across the organisation. This role will also support execution of global initiatives and improvements across the greater GREF landscape.

Key job responsibilities include:

Financial Planning, Analysis, and Process Optimisation:

• Develop, implement, and continuously improve end-to-end financial planning and analysis processes, methodologies, and frameworks for GREF

• Lead the design and execution of financial models that support accurate financial reporting and decision-making

• Collaborate with senior leadership to align financial strategies with business objectives and growth plans

• Own system integrations and data flow related to FP&A processes

• Stay current with industry best practices and integrate innovative approaches into GREF's financial planning and analysis methodologies

Financial Analysis and Reporting:

• Oversee the production of high-quality financial reports and analyses related to GREF operations

• Develop and maintain key performance indicators (KPIs) to measure the effectiveness of financial processes

• Provide insights and recommendations based on financial data to support strategic decision-making

• Lead monthly reviews of financial and operating metrics, analyse variances to forecast, and communicate key drivers to senior management

Chart of Accounts Management and Systems Ownership:

• Serve as the subject matter expert for IBM Cognos/TM1, FRAMES, and Spectra

• Lead system enhancements, upgrades, and integrations for these platforms to support GREF's financial processes

• Provide training and support to team members and stakeholders on the use of these systems for financial planning and reporting purposes

Basic Qualifications:

• 7+ years of multiple finance and accounting roles experience

• 7+ years of Accounts Payable (AP) experience

• 7+ years of applying key financial performance indicators (KPIs) to analyses experience

• 7+ years of building financial and operational reports/data sets that inform business decision-making experience

• 7+ years of creating process improvements with automation and analysis experience

• Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 7+ years of quantitative role (engineering, process re-engineering, quality assurance) experience

Preferred Qualifications:

• 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience

• 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience

• MBA, or CPA

• Knowledge of SQL/ETL

• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Key Responsibilities

• Create and iterate on data products and develop pipelines to provide data on an ongoing basis.
• Assist in enhancing data delivery across PL and Distribution.
• Assist with pivoting from antiquated technologies to enterprise standards.
• Understand, analyze, and translate business data stories into technical stories' breakdown structures.
• Design, build, test, and implement data products of varying complexity.
• Design, build, and maintain ETL/ELT pipelines using Python and SQL.
• Develop data validation scripts in Python.
• Write SQL queries to detect anomalies, duplicates, and missing values.
• Work closely with data analysts, scientists, and business stakeholders.

Requirements

• 3 to 5 years of experience as a Data Engineer.
• Full English fluency.
• BS in computer Engineering, Information Systems, Data Science, Advanced Analytics, Data Engineering, ML Ops, or similar.
• Insurance Background - Desirable.

Benefits

This position comes with a competitive compensation and benefits package, including:

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Home Office model.
• Career development and training opportunities.
• Flexible work arrangements (remote and/or office-based).
• Dynamic and inclusive work culture within a globally known group.
• Private Health Insurance.
• Pension Plan.
• Paid Time Off.
• Training & Development.

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Are you ready to contribute to the evolution of our data pipelines for our B2C division? At Future, we are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us.

This is an exciting opportunity for someone who excels in a creative environment, enjoys solving complex data challenges, and is eager to build impactful business insights, for this role you will directly report into the Head of Data Engineering

Responsibilities

• Develop and maintain new/current features of the data platform.
• Responsible for delivery of development projects, including scoping, writing and sizing of stories involved.
• Take ownership of BAU processes, develop area specific domain mastery, and seek means to automate them or reduce their impact.
• Proposes and advocates for changes to reduce risk, cost and overhead.
• Provide appropriate documentation for pipelines developed
• Parameterise pipelines so configuration can be changed easily without having to perform deep changes to the codebase
• Apply appropriate testing principles to ensure code is fit for purpose

Experience

• Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure
• SQL development skills
• Experience using Dataform or dbt
• Demonstrated strength in data modelling, ETL development, and data warehousing
• Knowledge of data management fundamentals and data storage principles
• Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems

What's in it for you

The expected range for this role is £50,000 - £60,000

This is a Hybrid role from our Bath Office, working three days from the office, two from home … Plus more great perks, which include;

• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Wellbeing support with access to our Colleague Assistant Programmes
• Opportunity to purchase shares in Future, with our Share Incentive Plan

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Are you ready to contribute to the evolution of our data pipelines for our B2C division? We are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us. This is an exciting opportunity for someone who grows in a creative environment, enjoys solving complex data challenges. You'll report into the Lead Data Engineer for this position and sit within the wider Data Engineer team.

The Data & Business Intelligence team guides our organisation to become more data-driven. Our to market changes gives us a competitive edge. By ensuring visibility of objective performance data, we empower our teams to make rapid, informed decisions that enhance overall performance.

Responsibilities

• Maintain new/current features of the data platform.
• Responsible for delivery of development projects.
• Utilise established software engineering practices and principles.
• Take ownership of BAU processes, develop area specific domain mastery.
• Ensure compliance matters are followed.
• Utilise CI/CD and infrastructure as code (Terraform) for rapid deployment of changes.

Experience

• Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure.
• SQL development skills.
• Demonstrated strength in data modelling, ETL development, and data warehousing.
• Knowledge of data management fundamentals and data storage principles.
• Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems.

What's in it for you

The expected range for this role is £45,000 - £50,000. This is a Hybrid role from our Bath Office, working three days from the office, two from home. Plus more great perks, which include:

• Uncapped leave, because we trust you to manage your workload and time.
• When we hit our targets, enjoy a share of our profits with a bonus.
• Refer a friend and get rewarded when they join Future.
• Wellbeing support with access to our Colleague Assistant Programmes.
• Opportunity to purchase shares in Future, with our Share Incentive Plan.

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We are seeking an experienced AI/GenAI engineer to join our team at Synopsys. As a Principal AI/GenAI Engineer, you will design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.

What You'll Be Doing:

• Design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.
• Provide technical leadership and mentorship, supporting junior engineers and data scientists in best practices and advanced techniques.
• Stay abreast of the latest AI, Agentic AI, and machine learning advancements, applying them to enhance existing systems or develop innovative solutions.
• Collaborate with program and product managers, software engineers, and stakeholders to define requirements and create technical specifications for AI solutions.
• Conduct data analysis, preprocessing, and feature engineering to prepare datasets for machine learning models.
• Train, validate, and fine-tune machine learning models to meet performance and accuracy benchmarks.
• Deploy AI models into production environments, monitoring and optimizing their performance.
• Document models, algorithms, and methodologies to ensure reproducibility and facilitate knowledge sharing.
• Ensure all AI solutions comply with ethical guidelines, data privacy regulations, and industry standards.

The Impact You Will Have:

• Accelerate innovation in AI-driven products and solutions, directly influencing Synopsys' technological leadership.
• Enhance operational efficiency and decision-making through intelligent automation and data-driven insights.
• Drive adoption of Agentic AI systems, enabling transformative business outcomes across multiple domains.
• Mentor and elevate the technical capabilities of the engineering and data science teams, fostering a culture of excellence.
• Champion ethical AI practices, ensuring responsible development and deployment of cutting-edge technologies.
• Support cross-functional collaboration, bridging the gap between technical and business teams for successful project delivery.
• Contribute to the advancement of semiconductor IPs and EDA tool integration with AI, expanding Synopsys' product portfolio.

What You'll Need:

• Ph.D. or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field.
• Minimum 8 years of experience in software engineering, machine learning, and GenAI, with a proven track record in production deployments.
• Strong proficiency in Python; familiarity with backend and distributed systems, message queues, and orchestration technologies is a plus.
• Expertise in data structures, algorithms, and design patterns for scalable AI solutions.
• Extensive experience with machine learning and Agentic frameworks (e.g., TensorFlow, PyTorch, LangChain/LangGraph, AutoGen) and LLM models.
• Strong grasp of statistical analysis, data mining, and data visualization techniques.
• Knowledge of cloud platforms, containerization (Kubernetes, Docker), and version control systems (Git, P4).
• Familiarity with Agile, Kanban, or Scrum methodologies.
• Understanding or experience with semiconductor IPs and EDA tools is highly desirable.

Who You Are:

• Exceptional problem-solving and analytical abilities, with a strategic mindset.
• Strong communication and interpersonal skills to engage diverse audiences.
• Ability to work independently and collaboratively within multidisciplinary teams.
• Demonstrated leadership and mentorship capabilities.
• Adaptable, proactive, and eager to continuously learn and innovate.

The Team You’ll Be A Part Of:

You will join a dynamic, collaborative group of professionals dedicated to advancing AI and GenAI solutions for diverse projects. The team values innovation, knowledge sharing, and continuous improvement, working closely with product managers, engineers, and stakeholders to deliver impactful AI-powered systems. You will play a key role in mentoring, technical leadership, and driving the evolution of Synopsys’ AI initiatives.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Location

San Francisco

Employment Type

Full time

Department

Intelligence & Investigations

Compensation

• $198K – $320K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

About the Role

As a Quantitative Intelligence Analyst, you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood.

Responsibilities

• Discover and define new quantitative risk signals where no established metrics exist, using subject matter expertise to surface early, weak, or unconventional indicators

• Translate complex trust and safety challenges into measurable signals that can be tracked and stress-tested over time

• Develop upstream early-warning and signal frameworks that inform downstream detection and mitigation efforts

• Analyze risk trends to assess the underlying drivers and causal factors behind those changes

• Conduct data mining and statistical modeling to understand how risks originate, evolve, and propagate across systems

• Design adversarial scenarios, and quantitative stress tests to assess exposure, coverage gaps, and vulnerabilities

• Produce clear data-driven briefs to support risk prioritization, contingency planning, and strategic risk products across teams

Requirements

• Have 3–6+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research

• Are comfortable working on complex trust and safety domains such as child safety, violent activities, self-harm, or similar high-stakes risk areas

• Familiarity with data mining, statistical modeling, and supervised learning methods

• Understand how to monitor signals or models for data drift, behavioral adaptation, or performance degradation over time, and can diagnose likely causes

• Experience in operationalizing adversarial or strategic risk behaviors, including through red-team exercises, agent-based modeling, or structured scenario analyses

• Comfortable working with Python and SQL

• Nice to have: Experience with quantitative stress testing or Monte Carlo simulations to assess uncertainty and tail risk

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI and work to ensure that our technology is developed and used responsibly.

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Microsoft are looking for a talented Applied Scientist II at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction. This position as an Applied Scientist II is for the modeling team, which builds machine learned models for predicting such events.

Accountabilities

• Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research).

Technical skills:

• Statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.

Personal attributes:

• Excellent problem solving and data analysis skills, effective communication skills, both verbal and written.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.

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Microsoft AI are looking for a talented Applied Scientist 2 at their Beijing office. This role sits at the heart of Bing's search engine, designing systems that can search through hundreds of billions of documents in just milliseconds. You'll work alongside some of the brightest minds in the industry on projects that will make a lasting impact.

About the Role

As an Applied Scientist 2, you will design and implement highly scalable, low-latency, always-on services that power Bing search. You will quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features. You will influence architecture and design decisions across teams, driving best practices and common patterns. You will collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.

Accountabilities

• Design and implement highly scalable, low-latency, always-on services that power Bing search.
• Quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Technical skills:

• 1+ years of programming experience in Python, C++, C#, or similar languages.
• Familiarity with data mining, machine learning, classification, clustering, or related areas.

Personal attributes:

• Ability to think creatively and deliver innovative solutions to complex problems.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technologies. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Applied Scientist, you will design and implement highly scalable, low-latency, always-on services that power Bing search. You will quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features. You will influence architecture and design decisions across teams, driving best practices and common patterns. You will collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.

Accountabilities

• Design and implement highly scalable, low-latency, always-on services that power Bing search.
• Quickly ramp up on diverse components, understand their design and functionality, and deliver impactful features.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• 4+ years of programming experience in Python, C++, C#, or similar languages.
• Familiarity with data mining, machine learning, classification, clustering, or related areas.

Personal attributes:

• Ability to think creatively and deliver innovative solutions to complex problems.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft are looking for a talented Senior Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the AI and machine learning space. You'll work directly with leadership to shape the company's direction in the content and recommendation systems markets.

About the Role

As a Senior Applied Scientist focusing on recommender systems, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals. Your primary responsibilities will include:

• Algorithm Development and Enhancement for ranking algorithms in News & Feeds
• Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement
• Optimize existing recommendation algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques

Accountabilities

• Conduct in-depth market research across content and recommendation systems sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Perform data analysis to identify patterns, trends, and opportunities to improve the relevance and quality of our recommendation systems
• Build systemic solutions and models to optimize user experience

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

Technical skills:

• Proficient in Python programming, with additional experience in languages such as C# or C++ considered a plus

Personal attributes:

• Proven problem-solving abilities and a track record of thriving in fast-paced, collaborative environments
• Excellent communication and teamwork skills, with the ability to clearly articulate complex technical concepts to a variety of audiences

Benefits

• Competitive salary and bonus structure
• Comprehensive health and wellbeing benefits
• Professional development opportunities, including training and mentorship programs
• Flexible work arrangements, including remote and hybrid options
• Access to cutting-edge technology and tools
• Collaborative and dynamic work environment
• Opportunities for career growth and advancement
• Recognition and rewards for outstanding performance

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Microsoft are looking for a talented Applied Scientist II at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising search results page advertising technology. You'll work directly with leadership to shape the company's direction in the online advertising market.

About the Role

Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction. This position as an Applied Scientist II is for the modeling team, which builds machine learned models for predicting such events.

Accountabilities

• Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Technical skills:

• Statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.

Personal attributes:

• Excellent problem solving and data analysis skills, effective communication skills, both verbal and written.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development

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Microsoft AI are looking for a talented Applied Scientist II at their Bengaluru office. This role sits at the heart of developing cutting-edge large-scale AI services that can power the next-gen AI search. You'll work directly with the team to shape the company's direction in AI search and development.

About the Role

As an Applied Scientist II, you will be responsible for developing novel machine learning and data mining algorithms, designing and developing solutions that respond in real time, and building data quality checks and re-usable modules for the training. You will also host ML models with production-ready code, design and execute offline/online experiments, and advance the state of the art of NLP technologies for real-world scenarios.

Accountabilities

• Developing novel machine learning and data mining algorithms
• Designing and developing solutions that respond in real time

The Candidate we're looking for

Experience:

• Master's/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining

Technical skills:

• Strong research and/or development experience with machine learning, NLP and data mining

Personal attributes:

• Excellent scientific thinking and execution
• Ability to drive efficient experiment definition and investigations

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Senior Applied Scientist at their Bengaluru office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI search and Copilot experiences responsibly. You'll work directly with leadership to shape the company's direction in the AI and search markets.

About the Role

We are looking for an Applied Scientist who is excited to work on ML/DL models capable of working on an internet scale. An ideal candidate will have extensive Machine/Deep Learning knowledge with proven track record in solving complex real-world ML/DL problems, specifically in areas related to fairness, or model safety. In addition, the candidate will have expert knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing scalable solutions.

Accountabilities

• Developing novel machine learning and data mining algorithms.
• Designing and developing solutions that respond in real time.
• Building data quality checks and re-usable modules for the training.
• Hosting ML models with production-ready code.
• Designing and executing offline/online experiments.
• Advancing the state of the art of NLP technologies for real world scenarios.
• Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.

The Candidate we're looking for

Experience:

• 7+ years of professional experience applying Deep learning, Machine Learning concepts in real world applications.

Technical skills:

• Solid research and/or development experience with machine learning, NLP and data mining.
• Experience in architecting, developing, and delivering advanced NLP projects.

Personal attributes:

• Outstanding communication and collaboration skills.
• Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft are looking for a talented Principle Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the technology industry. You'll work directly with leadership to shape the company's direction in the global market.

About the Role

As a Principle Applied Scientist, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals. Your primary responsibility will be to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement. You will work with cross-functional teams to analyze performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques.

Accountabilities

• Conduct in-depth market research across the technology industry, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience

Technical skills:

• Strong programming skills in Python and experience with other programming languages like C#, C++ is a plus

Personal attributes:

• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
• Strong communication and teamwork skills, with the ability to effectively present and explain technical concepts to diverse audiences

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Senior Applied Scientist at their Hyderabad office. This role sits at the heart of developing novel machine learning and data mining algorithms, designing and developing solutions that respond in real time, and building data quality checks and re-usable modules for the training.

About the Role

As a Senior Applied Scientist, you will be responsible for developing novel machine learning and data mining algorithms, designing and developing solutions that respond in real time, and building data quality checks and re-usable modules for the training. You will also be hosting ML models with production-ready code, designing and executing offline/online experiments, and advancing the state of the art of NLP technologies for real world scenarios.

Accountabilities

• Developing novel machine learning and data mining algorithms
• Designing and developing solutions that respond in real time

The Candidate we're looking for

Experience:

• 7+ years of professional experience applying Deep learning, Machine Learning concepts in real world applications

Technical skills:

• Solid research and/or development experience with machine learning, NLP and data mining

Personal attributes:

• Outstanding communication and collaboration skills

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development

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Microsoft AI are looking for a talented Senior Applied Scientist at their Noida office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI search and Copilot experiences. You'll work directly with leadership to shape the company's direction in the AI and search markets.

About the Role

As a Senior Applied Scientist, you will be responsible for developing novel machine learning and data mining algorithms. You will design and develop solutions that respond in real time, building data quality checks and re-usable modules for the training. You will host ML models with production-ready code, designing and executing offline/online experiments. You will advance the state of the art of NLP technologies for real world scenarios, investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.

Accountabilities

• Developing novel machine learning and data mining algorithms.
• Designing and developing solutions that respond in real time.
• Building data quality checks and re-usable modules for the training.
• Hosting ML models with production-ready code.
• Designing and executing offline/online experiments.
• Advancing the state of the art of NLP technologies for real world scenarios.
• Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.

The Candidate we're looking for

Experience:

• 7+ years of professional experience applying Deep learning, Machine Learning concepts in real world applications.

Technical skills:

• Solid research and/or development experience with machine learning, NLP and data mining.

Personal attributes:

• Outstanding communication and collaboration skills.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft Advertising are looking for a talented Sr. Technical Program Manager - Opportunity Analytics at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the digital advertising industry. You'll work directly with leadership to shape the company's direction in the global markets.

About the Role

As a TPM at MSA, you will focus on analyzing monetization performance and identifying growth opportunities across regions, products, and advertiser segments within the global business. In this position, you’ll work with large data sets to gain a thorough understanding of the factors that drive growth across our ad platform, publishers, advertisers, and consumers in international markets. A key responsibility will be developing strategies to translate marketplace trends into actionable advertiser growth opportunities, collaborating with stakeholders to create sales initiatives, and measuring the impact and effectiveness of these programs.

Accountabilities

• Lead & develop an effective framework to identify growth opportunities through analysis of marketplace, advertiser and monetization trends for the global markets and drive demand programs in partnership with relevant teams to help execute against the opportunities
• Serve as the key partner to Business Planning, Demand Planning, Market Sciences, and Sales Strategy teams on opportunities, programs and measurement

The Candidate we're looking for

Experience:

• 4+ years experience in engineering, product/technical program management, data analysis, or product development

Technical skills:

• Well-developed critical thinking and problem-solving skills
• Experience with turning large scale data into actionable insights and decisions
• Hands-on approach to data analysis / data mining with a solid focus on quality
• Experience with MS Excel
• Superior communications skills, both verbal and written and ability to engage with business partners and executives to influence and drive data based strategic decisions

Personal attributes:

• Embody our culture and values

Benefits

• Technical Program Management IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year
• Certain roles may be eligible for benefits and other compensation

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What you'll do

As a Senior Data Analyst, you will be responsible for assembling various game development and QA data from multiple sources, conducting analysis, performing research, interacting with different internal customers, designing, documenting, and implementing analytical solutions, as well as compiling and presenting results, in graphical and written summaries, to a variety of audiences.

• Build and share analytics and BI dashboards and reports, ensuring comprehensive user documentation is provided.
• Maintain high-quality and reliable BI dashboards and connected data sources to support confident decision-making across the team.

What you need

• Minimum 5 years of experience in data analytics roles, including data mining, data wrangling, shaping, visualization, and forecasting.
• Advanced skills in data visualization for charts and reports.

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What you'll do

• Collaborate with product managers and data analysts to identify business opportunities and develop data-driven solutions
• Develop and maintain data pipelines to support business needs
• Create data visualizations to inform business decisions

What you need

• 7+ years of experience in data science or a related field
• Strong programming skills in languages such as Python or R
• Experience with data visualization tools such as Tableau or Power BI
• Strong analytical and problem-solving skills

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