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You will promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.</li>\n<li>Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.</li>\n<li>Spearhead analyses to improve resource utilisation efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimised performance.</li>\n<li>Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.</li>\n<li>Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>10+ years of infrastructure data science, machine learning, advanced analytics experience in high-velocity, high-growth companies.</li>\n<li>5+ years of management experience hiring and developing teams.</li>\n<li>Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment.</li>\n<li>Knowledge of statistics and rigorous analytical techniques.</li>\n<li>Experience with data visualisation tools, knowledge of data engineering, data modelling, and big data technologies.</li>\n<li>Leadership skills and experience to lead across functional and organisational lines.</li>\n<li>Strong communication skills to explain and evangelise analytics and data science to executives and the senior management team.</li>\n<li>Bias to action and passion for delivering high-quality data solutions.</li>\n<li>A passion for problem-solving and comfort with ambiguity.</li>\n<li>MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering).</li>\n</ul>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.</p>\n<p>Zone 1 Pay Range $228,600-$314,250 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_49214f94-4ba","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com/","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7641390002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$228,600-$314,250 USD","x-skills-required":["infrastructure data science","machine learning","advanced analytics","cloud environment","statistics","data visualisation tools","data engineering","data modelling","big data technologies","leadership skills","communication skills","bias to action","passion for problem-solving","comfort with ambiguity","MS or Ph.D. in quantitative fields"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:43:09.520Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"infrastructure data science, machine learning, advanced analytics, cloud environment, statistics, data visualisation tools, data engineering, data modelling, big data technologies, leadership skills, communication skills, bias to action, passion for problem-solving, comfort with ambiguity, MS or Ph.D. in quantitative fields","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":228600,"maxValue":314250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9aaf497d-8cf"},"title":"Senior Data Consultant (H/F)","description":"<p>A senior data consultant is needed to join the team at Fifty-Five. The successful candidate will be responsible for promoting data science and data processing to support digital marketing, following a project plan with different milestones, ensuring data quality and accuracy, and delivering high-quality results to clients.</p>\n<p>The role will involve working closely with the technical and business teams to deliver marketing-oriented AI cases, integrating business requirements into a relevant activation strategy. The consultant will also be responsible for analysing data for clients, responding to digital activity management issues using key performance indicators, and participating in the development of Fifty-Five&#39;s data science offer.</p>\n<p>The ideal candidate will have a degree in engineering or a related field, with at least 2 years of experience in data consulting. 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The company is looking for a senior data consultant to join its team, with a competitive salary and a range of benefits.</p>\n<p>If you are a senior data consultant looking for a new challenge, please apply now.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Promote data science and data processing to support digital marketing</li>\n<li>Follow a project plan with different milestones</li>\n<li>Ensure data quality and accuracy</li>\n<li>Deliver high-quality results to clients</li>\n<li>Work closely with technical and business teams to deliver marketing-oriented AI cases</li>\n<li>Integrate business requirements into a relevant activation strategy</li>\n<li>Analyse data for clients</li>\n<li>Respond to digital activity management issues using key performance indicators</li>\n<li>Participate in the development of Fifty-Five&#39;s data science offer</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Degree in engineering or a related field</li>\n<li>At least 2 years of experience in data consulting</li>\n<li>Strong knowledge of Microsoft Office</li>\n<li>Strong analytical mindset</li>\n<li>Excellent communication skills</li>\n<li>Commercial spirit</li>\n</ul>\n<p><strong>Preferred skills:</strong></p>\n<ul>\n<li>Strong knowledge of Python</li>\n<li>Experience with data visualisation tools</li>\n<li>Knowledge of machine learning algorithms</li>\n<li>Experience with data warehousing and business intelligence tools</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>10-euro daily meal ticket</li>\n<li>50% transport costs</li>\n<li>Flexible work-life balance</li>\n<li>Modern and stimulating work environment</li>\n</ul>\n<p><strong>Company culture:</strong></p>\n<ul>\n<li>Fifty-Five is committed to diversity and inclusion</li>\n<li>Welcomes applications from all candidates, regardless of their background, age, gender, or disability</li>\n<li>Part of The Brandtech Group, a global data company that helps brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention</li>\n</ul>\n<p><strong>Location:</strong></p>\n<ul>\n<li>Paris, France</li>\n</ul>\n<p><strong>Type of contract:</strong></p>\n<ul>\n<li>Full-time</li>\n</ul>\n<p><strong>Salary:</strong></p>\n<ul>\n<li>Competitive salary</li>\n</ul>\n<p><strong>Workplace type:</strong></p>\n<ul>\n<li>On-site</li>\n</ul>\n<p><strong>Category:</strong></p>\n<ul>\n<li>Data science</li>\n</ul>\n<p><strong>Industry:</strong></p>\n<ul>\n<li>Technology</li>\n</ul>\n<p><strong>Salary range:</strong></p>\n<ul>\n<li>Competitive salary</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9aaf497d-8cf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fifty-Five","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/ap7XkdJEREJccZrXVta5Fv/senior-data-consultant-(h%2Ff)-in-paris-at-fifty-five","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary","x-skills-required":["Microsoft Office","Data science","Data processing","Digital marketing","Machine learning","Data visualisation","Data warehousing","Business intelligence"],"x-skills-preferred":["Python","Data visualisation tools","Machine learning algorithms","Data warehousing and business intelligence tools"],"datePosted":"2026-03-09T17:01:51.734Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris"}},"employmentType":"FULL_TIME","occupationalCategory":"Data science","industry":"Technology","skills":"Microsoft Office, Data science, Data processing, Digital marketing, Machine learning, Data visualisation, Data warehousing, Business intelligence, Python, Data visualisation tools, Machine learning algorithms, Data warehousing and business intelligence tools"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b1d522e6-6ca"},"title":"Data Engineering & Data Science Consultant","description":"<p><strong>Data Engineering &amp; Data Science Consultant</strong></p>\n<p>You will work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You will contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You will collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.</p>\n<p><strong>Your role will include:</strong></p>\n<ul>\n<li>Applying data science and machine learning techniques to real-world business problems</li>\n<li>Working with structured and semi-structured data in data lakes, lakehouses, and data warehouses</li>\n<li>Developing and optimising data transformations for analytical and machine learning workloads</li>\n<li>Supporting the productionisation of data and ML solutions, including monitoring and optimisation</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3–5 years of experience in data engineering, data science, or analytics</li>\n<li>Hands-on experience delivering data and analytics solutions in project-based or client environments</li>\n<li>Strong problem-solving skills and a pragmatic, delivery-oriented mindset</li>\n</ul>\n<p><strong>Data Engineering Foundations</strong></p>\n<ul>\n<li>Experience building end-to-end data pipelines (ingestion, transformation, storage)</li>\n<li>Solid understanding of data modelling, data transformations, and feature engineering</li>\n<li>Familiarity with cloud-based data platforms, such as Azure, AWS, or GCP</li>\n<li>Understanding of CI/CD concepts and production-grade deployments</li>\n</ul>\n<p><strong>Applied Data Science &amp; Analytics</strong></p>\n<ul>\n<li>Experience applying statistical analysis and machine learning techniques</li>\n<li>Strong programming skills in Python</li>\n<li>Very good SQL skills and experience working with relational databases</li>\n<li>Experience deploying or supporting ML models in production environments</li>\n<li>Ability to translate analytical results into business-relevant insights</li>\n<li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience</li>\n</ul>\n<p><strong>Nice to have</strong></p>\n<ul>\n<li>Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)</li>\n<li>Exposure to GenAI, NLP, time series, or advanced analytics use cases</li>\n<li>Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)</li>\n<li>Familiarity with Docker and Kubernetes</li>\n<li>Experience with data visualisation tools (e.g. Power BI, Tableau)</li>\n<li>Cloud or data-related certifications</li>\n</ul>\n<p><strong>Language &amp; Mobility</strong></p>\n<ul>\n<li>Very good English skills</li>\n<li>Willingness to travel for project-related work</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>Join our growing Data &amp; Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data &amp; Analytics strategy, Data Management &amp; Governance, Data Platforms &amp; Engineering, Analytics &amp; Data Science.</p>\n<p><strong>About Infosys Consulting</strong></p>\n<p>Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.</p>\n<p>Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.</p>\n<p>Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.</p>\n<p>We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b1d522e6-6ca","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/sJqhkr23sMG2F6ppqk2BQn/remote-data-engineering-%26-data-science-consultant-in-poland-at-infosys-consulting---europe","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data science","machine learning","data engineering","data analytics","cloud-based data platforms","Azure","AWS","GCP","Python","SQL","relational databases","data visualisation tools","Power BI","Tableau"],"x-skills-preferred":["streaming technologies","GenAI","NLP","time series","advanced analytics","NoSQL databases","Docker","Kubernetes"],"datePosted":"2026-03-09T16:51:38.126Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poland"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, machine learning, data engineering, data analytics, cloud-based data platforms, Azure, AWS, GCP, Python, SQL, relational databases, data visualisation tools, Power BI, Tableau, streaming technologies, GenAI, NLP, time series, advanced analytics, NoSQL databases, Docker, Kubernetes"}]}