Brex is a finance platform that enables companies to spend smarter and move faster in over 200 markets. It combines global corporate cards and banking with intuitive spend management, bill pay, and travel software.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.

We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.

Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you'll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex.

You'll go beyond building dashboards,you'll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership.

You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team's work.

This role sits at the intersection of analytics, analytics engineering, and business strategy.

You'll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you'll work

This role will be based in our San Francisco office.

We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.

We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.

• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.

• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.

• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.

• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.

• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.

• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.

• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.

• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.

• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).

• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).

• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).

• Strong stakeholder management skills,proven ability to present complex technical findings to non-technical audiences.

• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).

• Experience with dbt for data modeling and transformation.

• Experience building and maintaining data pipelines using orchestration tools such as Airflow.

• Experience working with APIs for data ingestion and integration.

• Familiarity with version control systems (Git).

• Experience in fintech, financial services, or payments.

• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740.

However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

XML job scraping automation by YubHub

Key responsibilities include:

• Supporting the VP of Quality in evolving priorities and organizational needs, adapting capacity and focus as required
• Enabling Quality team leaders and division members to maximize efficiency and quality output through coaching and resource alignment
• Building internal delivery rhythms, KPIs, and OKRs that drive team alignment, execution fidelity, and risk management
• Leading cross-team initiatives requiring executive sponsorship and accountability, acting as go-to problem solver for ambiguous challenges
• Partnering with Quality Systems Engineering to deploy and track KPIs through scorecards to inform decisions at QBR, MDPR
• Fostering cross-functional relationships, embedding quality and compliance fluency throughout partner functions
• Providing strategic oversight and ensuring product line governance in accordance with DCMA compliance and federal mandates
• Serving as the connective tissue across the organization,coordinating, communicating, and facilitating
• Owning Product Quality Engineering strategy across all new product development by appropriately leveraging the following functions at the appropriate phase gates: Reliability, System Safety, Supplier Quality, and Quality Systems Engineering
• Owning day-to-day factory quality engineering and sustainment; owns Productization/Recovery execution (productionization, stabilization, ramp support)
• Ensuring efforts to embed Quality at the source are executed and implemented by operationalizing findings from Design for Quality, DFM, and FSS risk management methodologies
• Developing and executing mitigation strategies identified through root cause analysis, FMEA, and trend analysis; translating findings into design improvements and process enhancements
• Driving DFMEA and PFMEA activities, coaching teams to proactively identify and mitigate risks before they materialize
• Establishing product validation and verification protocols (DV, PV, reliability testing) aligned with industry best practices
• Driving design review governance, supporting critical phase-gate reviews to ensure quality criteria are satisfied at each milestone
• Partnering with R&D, Engineering, Manufacturing, and Supply Chain to create closed-loop corrective action systems that feed learnings into next-gen designs
• Building and leading a high-performing Product Quality Engineering team with expertise in statistical methods, DOE, MSA, and process capability
• Establishing a center of excellence for statistical analysis, providing tools, templates, mentorship, and governance for data-driven decision-making
• Leading capability maturity assessments for product development processes, implementing improvement roadmaps
• Serving as Quality voice in PDP governance, aligning product strategy, customer expectations, regulatory requirements, and manufacturing capabilities
• Partnering with Supplier Quality to ensure early establishment of supplier quality engagement protocols, co-developing quality agreements and performance metrics
• Driving Voice of the Customer integration into product requirements and quality standards
• Leading production readiness assessments, validating process capability, tooling, training, and quality systems
• Owning product quality scorecards tracking first-pass yield, defect rates, warranty returns, and field reliability
• Facilitating post-launch reviews to capture lessons learned and feed insights into the Product Development playbook

XML job scraping automation by YubHub

As a measurement lead, you will be a key partner to our sales team, fusing best practices, industry knowledge, and critical thinking to help clients achieve their brand and performance goals on Reddit. Your primary responsibilities will evolve over time, and there is a significant opportunity to drive impact within Reddit and support your own career growth.

Responsibilities:

• Daily responsibilities will span across advertising measurement, performance optimizations, vendor development, advertising strategy, teaching and supporting our sales team, and research.

• Measurement knowledge including attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion and mobile tracking, 1st and 3rd party insights storytelling, and custom research.

• Collaborate closely with Client Account Managers to gain a deep understanding of clients' campaign setups, measurement stack and performance goals, as well as collaborate closely with Product & PMM.

• Translate global best practices into EMEA context, creating playbooks and best practices for EMEA specific campaigns.

• Translate data insights into actionable recommendations with clear justifications and expected outcomes, maintaining regular communication of vertical updates and optimization suggestions to our team.

• Leverage measurement results to drive sales impact - developing benchmarks, case studies, media & creative best practices, and refinement/optimization to our audience and targeting strategy to improve efficiency and effectiveness.

• Partner with Sales, Marketing, and Brand Strategy to develop compelling storylines that highlight opportunities for Reddit advertisers and our competitive advantage.

• Join key client meetings as a subject matter expert to provide technical guidance and objection handling.

• Develop and support our go-to-market teams in EMEA with your measurement expertise, industry knowledge, and insights specific to market nuances.

• Support the execution of innovative primary research that amplifies our narrative and value proposition to advertisers, and the development of insights products that position Reddit as a curator of business-critical learnings to advertisers.

Required Qualifications:

• A data-driven storyteller that’s passionate about measurement to inspire and drive action.

• 5+ years in ad research or ad tech – at a research vendor, media owner, client or agency partner.

• You are familiar with the ad measurement landscape and the primary vendors, products, and services that advertisers use to measure performance & brand - and how it all works from a technical perspective.

• A knowledge of experimentation and familiarity with the underlying statistical methods.

• Expertise in these three areas of measurement across verticals:

• Reach: impressions, viewability, on-target percentage, brand safety, etc.

• Resonance: brand awareness, consideration, intent, etc.

• Reaction: attribution, conversion, sales lift, tune-in, foot traffic, etc.

• Experience optimizing toward DR focused KPIs, as well as knowledge of holistic media planning to support brand awareness and performance campaigns in tandem.

• Experienced in executing incrementality testing, developing test+learn agendas and working with engineering + product teams on advanced measurement cases.

• You have a strong background in the execution, analysis, and presentation of quantitative advertising research.

• Proven ability to weave primary research, 1st party platform data, and 3rd party/syndicated research together into a cohesive and compelling story of strategic importance.

• Experience working with measurement vendors to bring new services and capabilities to life at a technology company.

• Exceptional written and oral communication skills – you’re articulate and engaging.

• Motivated self-starter who thrives in unstructured environments on an evolving team.

• BA/BS degree

XML job scraping automation by YubHub

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards,you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.

• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.

• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.

• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.

• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.

• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.

• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.

• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.

• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.

• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).

• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).

• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).

• Strong stakeholder management skills,proven ability to present complex technical findings to non-technical audiences.

• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).

• Experience with dbt for data modeling and transformation.

• Experience building and maintaining data pipelines using orchestration tools such as Airflow.

• Experience working with APIs for data ingestion and integration.

• Familiarity with version control systems (Git).

• Experience in fintech, financial services, or payments.

• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

XML job scraping automation by YubHub

Responsibilities:

• Lead and support composite material allowables development programs (per CMH-17, FAA, ABS, or other relevant guidelines)
• Define, execute, and analyze test programs to generate A- and B-basis allowables
• Develop and implement material and process specifications for composite fabrics, adhesives, core materials, and associated processes
• Provide technical support for composite fabrication, inspection, and process control
• Interface with test labs and suppliers to ensure quality and compliance with aerospace standards
• Author test plans and roadmaps for characterization of new material systems and/or processes
• Author material and process specifications that are consistent with industry standards and/or internally developed requirements
• Document and maintain material property databases, ensuring traceability and alignment with regulatory requirements
• Support root cause analysis and corrective action for process and material non-conformances
• Lead or support continuous improvement activities that inform design-for-cost and design-for-manufacturing activities
• Collaborate with certification teams to provide technical justification and documentation for material allowables used in structural substantiation

Qualifications:

• Bachelor’s degree or greater in Materials Science, Mechanical Engineering, Aerospace Engineering, or related field
• 2+ years of experience in aerospace and/or marine composite materials and processes (allowables development experience preferred)
• Familiarity with CMH-17, MIL-HDBK-17, ABS certification requirements, and other aerospace/marine composite standards
• Hands-on experience with composite manufacturing methods (e.g., autoclave, out-of-autoclave, infusion, bonding)
• Strong understanding of material testing standards (ASTM, SACMA, etc.) for composites
• Proficiency in analyzing material test data and statistical methods for allowables development
• Excellent written and verbal communication skills, with ability to prepare clear technical documentation

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer
• Occasional standing and walking within the office
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment
• Visual acuity to read screens, documents, and reports
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

XML job scraping automation by YubHub

In this role, you will work closely with physicists, engineers, and technicians to assemble, test, and support advanced RF and cryogenic systems that enable next-generation quantum processors. You will be responsible for operating and maintaining cryogenic infrastructure, characterizing custom RF hardware, developing best practices, and troubleshooting complex systems that span RF, vacuum, cryogenics, and electronics.

Key responsibilities include:

• Test, validate, and debug custom RF control systems using advanced electronic test equipment such as network analyzers, oscilloscopes, DMMs, and internally developed tools

• Operate, troubleshoot, service, and maintain cryogenic and vacuum systems, including scroll pumps, turbo pumps, cryo compressors, high-vacuum components, and cold traps

• Perform helium leak detection, pump rebuilds, and thermal system management

• Assemble, validate, and install complex electro-mechanical, cryogenic, vacuum, and RF assemblies with exceptional attention to detail

• Contribute to test plan development and execute validation testing for next-generation RF hardware

• Participate in an on-call rotation to support cryogenic systems uptime

• Prepare, inspect, and package quantum chip assemblies for testing

• Follow established procedures and contribute to the creation and improvement of standard operating procedures and best practices

• Read and interpret CAD drawings, schematics, and engineering specifications

• Support external system installations and work directly with customers and partners (up to ~20% travel)

Ideal candidate:

• Technical background in Physics, Engineering, or a related field, or equivalent industrial or military experience (MS or PhD a plus)

• Strong proficiency with general-purpose electronic test equipment (oscilloscopes, network analyzers, multimeters, DC power supplies, etc.)

• Substantial hands-on experience working with sub-Kelvin cryogenic systems

• Experience operating and maintaining high-availability laboratory or industrial equipment

• Experience assembling, servicing, and maintaining scientific instruments or complex electro-mechanical systems

• Familiarity with vacuum systems, vacuum plumbing, P&IDs, and standard fittings and practices

• Working knowledge of statistical methods for test and validation (e.g., DOE, Six Sigma, simulation)

• Strong troubleshooting, documentation, and communication skills

• Experience working with external vendors and partners

Nice to have:

• Hands-on experience with dilution refrigerators or similar ultra-low-temperature cryogenic systems

• Programming or scripting experience in Python or related languages

Additional information:

• As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers. Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. Applications from women, minorities, and other under-represented groups are encouraged.

XML job scraping automation by YubHub

KoBold Metals is a privately held mineral exploration company and technology developer. It has become the largest independent mineral exploration company and largest exploration technology developer.

In the six years since founding, KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.

About the position

In this role, you will lead evaluations of potential properties for acquisition, generate targets, and design and oversee field programs from target definition through to resource expansion. You will be part of a multidisciplinary team and will work closely with data scientists, using KoBold’s technology to help guide our field programs and decision-making. You will also work directly with our senior technical advisors and with the executive team on making the investment case for acquisitions and field programs.

Responsibilities

• Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations
• Rigorously analyze geoscientific datasets across a range of scales from provinces to prospects to determine exploration potential and to identify, rank, and prioritize exploration targets
• Design, budget, permit, and execute field programs ranging from geological mapping and sampling of grass roots prospects through to large drilling programs on advanced projects, with leading industry practice in data acquisition and validation
• Provide technical guidance and support to local in-country project teams during the design and execution of exploration programs, including site visits and engagement with other project stakeholders (e.g., community representatives, regulatory authorities, and joint venture partners)
• Work collaboratively with data scientist colleagues to conceive and implement insightful analytical methods

Qualifications

A great Senior Exploration Geologist candidate will have:

• Strong technical knowledge of one or more ore deposit types. Experience working on sediment-hosted stratiform copper or magmatic sulfide deposits will be considered an advantage
• Excellence in generative analysis ranging from new concepts to integration, interpretation, and modeling of large datasets
• Good field skills and experience conducting field programs across a range of project stages from grassroots prospects through to advanced projects with significant drilling campaigns
• Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS)
• Strong leadership skills including the ability to motivate and inspire others, to share ownership and responsibility for project outcomes, and to work effectively in collaborative, interdisciplinary teams
• Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration
• Demonstrated commitment to high standards of health and safety in the workplace
• A minimum of 10 years experience in the mineral exploration industry

It is helpful but not required to have:

• Working knowledge of one programming or scripting language (e.g., Python, R, C/C++)
• Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data
• International experience, particularly in the Central African Copperbelt

Note: Candidates who are specialists in geochemistry or geophysics but open to doing significant project work are encouraged to apply.

XML job scraping automation by YubHub

We believe in a world where homes are owned by regular people, not corporations. Our mission is to provide authentic belonging experiences, empowering residents to become homeowners and homeowners to achieve financial freedom.

The Role

This is a builder role with direct P&L impact. You will own and scale the homeowner supply growth engine (across acquisition, onboarding, activation, and retention). You’ll be the GM of your own system, driving strategy and execution for a full-stack, AI-first funnel. You’ll ship fast, measure everything, and bring a growth obsession that matches our ambition.

Responsibilities

• Build an AI-native homeowner acquisition funnel. • Personalized onboarding experiences that adapt dynamically based on user attributes, preferences, and model predictions. • Automated pricing, trust-building, and documentation flows that reduce friction and compress time-to-value. • Predictive scoring and routing systems to prioritize the right leads, with the right incentives, at the right moment. • Internal AI copilots that handle verification, follow-up, and workflow automation, freeing humans to do only what humans must. • A scalable measurement framework across the funnel, with source attribution and model-driven forecasting.

Your Mandate

• Own strategy and execution for Belong’s homeowner funnel, from first click to full activation. • Identify bottlenecks and explode them with product. • Partner with leaders to deeply link paid acquisition with in-product performance, and ensure sales and operations can deliver on the promise of Belong. • Define success metrics, instrument everything, and build dashboards that replace guesswork with precision. • Write crisp PRDs, wireframe smart workflows, and ship frequently. • Operate as both a strategic thinker and a tactical executor, you will lead and build.

What You Bring

• 2+ years of experience in product management with ownership over growth funnels, ideally in a B2C or marketplace company. • You’ve driven CAC down, LTV up, and activation time down with product, not just marketing. • You’ve shipped AI-powered product features and understand LLMs, embeddings, and prompt engineering. • You’ve built experiments with rigor and made hard calls with imperfect data. • You understand user psychology and can design onboarding flows that convert skeptics into champions. • You communicate clearly, lead cross-functional pods, and get things shipped. • You play to win.

What Success Looks Like In Year 1

• Homeowner acquisition costs are down, speed to activation is up, and conversion is accelerating. • AI is integrated across the funnel, delivering measurable improvements in cost, quality, and experience. • Experimentation velocity is high, insights are trustworthy, and every major decision has a clear metric trail. • The growth engine is humming, and you’re in the driver’s seat.

Qualifications

• 2+ years of product management experience, preferably in consumer marketplaces or high-growth startups • Demonstrated success driving growth initiatives in customer acquisition and retention • Experience working across the AARRR funnel (Acquisition, Activation, Retention, Referral, Revenue) • Strong understanding of UX principles and ability to turn concepts into high-fidelity wireframes and designs. • Proven ability to lead cross-functional teams in a fast-moving, ambiguous environment • Excellent communication, collaboration, and stakeholder management skills • Familiarity with experimentation frameworks and statistical methods • Experience integrating or working with AI technologies to enhance product capabilities • Entrepreneurial mindset with a bias for action and a focus on delivering value quickly • And you're pithy.

Additional Information

Who You Are

You don’t want to maintain someone else’s system, you want to build your own. You’re competitive. You run toward outcomes, not away from problems. You are customer-obsessed but ruthless about the business. You think in feedback loops. You crave autonomy and accountability. You’ve been underestimated before, and you’re not done proving people wrong.

You want to build a lasting product, and you know growth is where the game is won or lost.

XML job scraping automation by YubHub

Your work will ensure that every feature we launch is grounded in data-driven insight and meaningfully strengthens the connection between more than 700 million listeners and the creators they love.

Responsibilities:

• Own analytical projects end-to-end, from hypothesis generation and data exploration to recommendations for product leadership
• Develop and own success metrics for generative music features and systems
• Design and analyze A/B tests and causal studies to evaluate product and model impact
• Perform exploratory analyses to uncover opportunities that improve experiences for listeners and artists
• Build scalable dashboards to monitor feature health and ecosystem impact
• Design and run evaluations for generative music systems, assessing risks and opportunities across prompts, outputs, and quality
• Collaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirements
• Partner closely with Engineers and AI Researchers to integrate evaluation signals into model development workflows
• Communicate complex findings through clear, actionable narratives that inform product strategy and roadmap decisions

Who You Are:

• You have a degree in Computer Science, Statistics, Economics, Operations Research, quantitative social science, or a related field (or equivalent experience)
• You bring 4+ years of experience as a Data Scientist influencing product decisions through data
• You're highly proficient in SQL and Python and comfortable working with large-scale datasets
• You use AI-powered tools (e.g., Cursor, Copilot) to accelerate analysis and workflows
• You have strong product intuition and a results-focused perspective, you seek the 'why' behind the data
• You have experience with A/B testing, causal inference and advanced statistical methods, and exercise strong judgment in methodological choices
• You understand machine learning systems and can evaluate models beyond offline metrics, applying human judgment to quality and impact
• You thrive in ambiguous, zero-to-one environments and enjoy defining metrics & opportunities for entirely new product categories
• You're motivated by creating real value for music fans and music creators

Where You'll Be:

• We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.
• This team operates within the Eastern Standard time zone for collaboration

Additional Information: The United States base range for this position is $110,018 - $157,169 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.

XML job scraping automation by YubHub

As a Data Scientist, you'll help the Portfolio team make informed decisions about how to grow and diversify Spotify's paid offerings by analysing subscriber behaviour, measuring the impact of plan changes and new propositions, and surfacing insights that shape our strategy.

Your work will directly influence how the Spotify experience evolves for users around the world.

Responsibilities:

• Analyse subscriber behaviour and engagement patterns to identify opportunities for plan evolution and new value propositions
• Design and analyse experiments to measure the impact of changes to subscription plans and add-on offerings
• Define and maintain success metrics for Portfolio initiatives, ensuring alignment across cross-functional partners
• Build and maintain dashboards and reporting to monitor the health and performance of subscription plans and new revenue streams
• Perform exploratory analyses that uncover growth levers and inform the Portfolio roadmap
• Collaborate with Product, Engineering, Design, User Research and other Data Science teams across the Subscriptions Mission
• Communicate findings and recommendations clearly to both technical and non-technical audiences, including senior leadership

Requirements:

• 3+ years of experience in data science or analytics, ideally at a consumer tech or subscription-based company
• Hold a degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field (or equivalent experience)
• Proficient in SQL and Python and comfortable working with large-scale datasets
• Experience designing and analysing A/B tests, with a solid understanding of statistical methods
• Clear communicator who can translate complex analyses into actionable recommendations
• Curious, proactive, and comfortable navigating ambiguity in a fast-moving business
• Enjoy collaborating across teams and are comfortable working in environments that require coordination across multiple stakeholders and workstreams

Benefits:

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• Paid flexible holidays
• Paid sick leave

Salary Range: $76,840 - $109,771, plus equity

XML job scraping automation by YubHub

We are looking for a self-motivated software engineer to onboard models to our platform. Collaborate with modellers on the implementation and deployment of financial risk models. Understand client requirements and translate them into software engineering tasks.

Our team

• Is passionate about technology and solving complex problems.
• Develops in Python, working with technologies like Pandas, Apache Arrow, Snowflake, Prefect, Docker, and Azure DevOps.
• Consists of technologists that unlock constant innovation.
• Constantly challenges the technology status quo and looks for ways to improve the platform.

Key Responsibilities

We expect the role to involve the following core responsibilities and would expect a successful candidate to be able to demonstrate skills or experience with the following (not in order of priority):

• Quickly learn the platform and act as a subject matter expert towards modelling teams and product analysts.
• Work with modellers and product analysts to understand the business and their requirements. Help implement those on our platform using engineering best practices.
• Facilitate technical design and code review sessions to ensure software meets functional and compatibility requirements, as well as high quality standards.
• Stay abreast of the latest developments in machine learning, quantitative finance, and technology to incorporate innovative solutions into our platform.
• Enhance the performance of existing models, ensuring they operate efficiently at scale.
• Implementation and maintenance of a standard data / technology deployment workflow to ensure that all deliverables/enhancements are delivered in a disciplined and robust manner.
• Ensure operational readiness of the product and meet customer commitments with regards to incident SLAs.

Skillset

• Strong experience (3+ years) in Python is crucial
• Bachelor’s (BSc) or higher degree in Computer Science or related field
• Experience with Pandas, Apache Arrow, Snowflake, (Prefect is a plus)
• Good understanding of Object-Oriented Design principles
• Fluency with AI coding tools and the use of LLM in everyday development
• Good understanding of fundamental Algorithms and Data Structures
• Knowledge of Azure DevOps and git, CI/CD
• Good understanding of unit tests, integration and regression tests, and their importance
• An aptitude for designing data models and pipelines is a plus
• Ability to understand advanced mathematical and statistical methods and concepts
• Fluency in reading, writing and speaking English

Personal Qualities

• Team player
• Problem-solving skills
• Critical and analytical thinking
• Technical curiosity
• Adaptable

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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Hardware $123K – $285K • 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.

• 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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

We’re looking for a product quality engineer, who will be responsible for driving technical initiatives related to the quality and reliability of our AI supercomputer hardware systems to ensure product success from concept to launch and through mass production. You’ll have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• In this role, you’ll be responsible for defining product quality and reliability targets and driving initiatives to ensure product success from concept to launch.

• Lead and develop the overall product quality and reliability strategy and process for next-gen AI hardware system development, you will have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs and external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards.

• Lead the team to establish NPI product quality control process, define reliability qualification strategy, define clear milestones and deliverables, drive internal process improvements across multiple terms and functions.

• Drive the design and execution of comprehensive quality and reliability assurance plans, testing protocols, and validation processes to ensure all hardware systems meet stringent performance, reliability and compliance standards.

• Champion the use of advanced data analytics and statistical methods for analysis and monitoring of key quality metrics (e.g., yield, defect rates, MTBF) to monitor performance, predict potential failures, and guide product improvements.

• Lead failure analysis, root cause identification, and corrective actions for system failures in both development and operational environments.

• Collaborate with suppliers to ensure that all sub-components meet quality standards and performance specifications.

• Visit vendors' facilities and review their manufacturing environment to assess and improve their procedures.

• Lead component supplier and JDM/CM quality control audits and performance reviews to ensure component and system reliability.

• Own overall product quality process development of the hardware product. This includes the PCB, PCBA, cabling and connector, chassis, rack, power, and cooling components, subsystems spanning internal and external development work through successful deployment into the infrastructure and support of production workloads at scale.

• Develop and manage overall product quality requirements, scope, schedules, and deliverables with engineering teams, TPMs, partners and key stakeholders.

• Communicate effectively with cross-functional teams to ensure successful execution of programs.

• Utilize problem-solving skills to resolve issues and overcome obstacles, perform risk assessment, risk mitigation and change management on projects.

• Manage multiple projects simultaneously.

• Monitor project progress and ensure deadlines and standards are met.

You might thrive in this role if you:

• Have an impressive track record of leading complex projects from concept to production launch and have the ability to work with cross-functional teams to ensure successful execution of programs.

• Are a creative, detail-oriented, and self-motivated individual looking for an exciting opportunity in the tech industry, this could be the perfect role for you

• Stay up to date on industry trends and product quality engineering of high-performance computing systems.

• Like being a close partner with cross-functional teams to understand key design changes requiring validation to accurately integrate engineering validation needs into the overall system build.

• Have experience driving development timelines for new platform introduction and managing internal review processes.

• Have significant experience driving creativity, quality, reliability, and schedule at multinational JDM/CM vendors.

• Are deeply familiar with mechanical and electrical Design For Quality (DFQ), Excellence (DFX), Manufacturability (DFM), Assembly (DFA), Test (DFT), and Design for Reliability (DFR), etc.

• Have experience with 8D and various troubleshooting/root cause analysis methodology such as 5 Whys, Fishbones, etc..

• Are excited by capturing, analyzing, and presenting key quality metrics data.

• Are keen on root cause corrective actions.

• Are comfortable with ambiguity and rapidly changing conditions.

_To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

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 systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs

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Microsoft are looking for a talented Senior Data Science 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 online advertising technology. You'll work directly with leadership to shape the company's direction in the online advertising market.

About the Role

We are a team that focuses on keeping the Microsoft Advertising ecosystem safe for users and compliant with policies. You should be independent, curious, and have an attitude of can learn and can get it done. You need to be open (and potentially familiar) to service and business operations responsibilities, and able to perform data analysis at different scales, be open to / interested in quick coding to get analysis done or automate fixed processes. Given open ended business or analysis or introductory data science problems, you should be able to think structurally and form hypothesis / strategies in a reasonable manner. Having the ability to undertake precise communication with different types of audiences is a plus.

Accountabilities

• Analyze revenue and quality impact of change in models or policies used to evaluate Ads.
• Perform exploratory analyses to react to emergent threats to suggest approaches to deal with them
• Strong communication skills and ability to modify presentation as per audience.
• Productionize analyses into dashboards for monitoring and alerting
• Ability to independently run analyses and investigations.
• Automation and Engineering: Inclination to explore mechanisms to automate analysis steps, undertake engineering orchestration, which may require ability to do quick coding and or learning aspects of engineering infrastructure, as also exploring Machine Learning Solutions / Approaches

The Candidate we're looking for

Experience:

• 6+ years of relevant experience is expected but for exceptional people experience is not a bar.

Technical skills:

• Knowledge of SQL or something similar, is important.
• Knowledge of Python and / or R in general coding as well as in data analysis has high weightage.
• Knowledge of basic and / or advanced statistical methods / knowledge of machine learning disciplines is a plus.

Personal attributes:

• Good verbal and written communication skills
• Having worked in a web search related company is a plus.

Benefits

• This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
• Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

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What you'll do

We are looking for a Senior Manager of Analytics to lead the data strategy, insight generation, and experimentation across all EA Mobile titles currently live and in development.

• Hire, manage, mentor, and grow a team of analysts, creating a collaborative and high-impact team culture
• Lead the design and implementation of foundational data infrastructure, including telemetry, KPIs, and reporting for mobile titles

What you need

• 5+ years of experience in analytics or data science
• 2+ years of experience managing people, with a focus on performance development and team building

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What you'll do

As a Data Scientist in our team, you will focus on building end-to-end data science solutions from exploratory analysis to model development and performance evaluation working closely with Machine Learning Engineers and Data Engineers.

• Analyze large, multilingual datasets to generate actionable insights for localization workflows.
• Develop and refine feature engineering pipelines tailored for multilingual and multimodal datasets.

What you need

• 2+ years of hands-on experience in applied data science, ideally in NLP, prompt engineering or multilingual domains.

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