Engineering Manager (Data Science)

Role OverviewWe are seeking an experienced Engineering Manager - Data Science to lead a high-performing Data Science squad responsible for delivering scalable machine learning solutions, predictive models, and AI-driven products that drive business impact.The ideal candidate combines deep technical expertise in Data Science and Machine Learning with strong people leadership capabilities. This role requires a strategic thinker who can manage a multidisciplinary squad, define technical roadmaps, mentor engineers and data scientists, and collaborate closely with Product, Engineering, Analytics, and Business stakeholders.Key ResponsibilitiesLeadership & Team ManagementLead, coach, and develop a squad of Data Scientists, Machine Learning EngineersDrive team performance through goal setting, mentoring, career development, and continuous feedbackBuild and foster a culture of innovation, ownership, collaboration, and technical excellenceSupport recruitment, onboarding, and talent development initiativesManage squad capacity, planning, and execution to ensure successful delivery of strategic projectsTechnical LeadershipDefine and execute the Data Science roadmap aligned with business objectivesLead the design, development, deployment, and monitoring of machine learning models and AI solutionsEstablish engineering best practices for model development, experimentation, MLOps, and production deploymentGuide architectural decisions related to data platforms, machine learning infrastructure, and AI systemsEnsure scalability, reliability, and maintainability of Data Science solutionsStakeholder ManagementPartner with Product Managers, Engineering Leaders, and Business stakeholders to identify opportunities for data-driven decision makingTranslate complex business problems into analytical and machine learning solutionsCommunicate technical findings and recommendations to both technical and non-technical audiencesDrive alignment across cross-functional teams to deliver measurable business outcomesDelivery & ExecutionOversee end-to-end project delivery from discovery and experimentation to production deploymentMonitor KPIs and model performance to ensure continuous improvementBalance technical debt, innovation, and business priorities effectivelyDrive agile delivery practices within the squadRequirements10+ years of experience in Data Science, Machine Learning, Software Engineering, or related technical fields4+ years of people management experience leading Data Science or Machine Learning teamsProven experience leading cross-functional squads in product-driven environmentsDemonstrated track record of deploying machine learning models into productionTechnical SkillsStrong expertise in:Machine LearningStatistical ModelingPredictive AnalyticsDeep LearningNLP and/or Generative AIExperiment Design and A/B TestingAdvanced proficiency in:PythonSQLData Visualization toolsExperience with:MLOps practicesModel monitoring and governanceCloud platforms (Azure, AWS, or GCP)Data Engineering concepts and modern data platformsFamiliarity with:LLMs and Generative AI applicationsFeature storesRecommendation systemsReal-time machine learning solutionsPreferred QualificationsMaster's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related fieldExperience within FinTech, Digital Products, E-commerce, Banking, or Technology organizationsExperience managing large-scale data platforms and AI initiativesKnowledge of modern software engineering practices and DevOps methodologiesBenefitsLead cutting-edge AI and Data Science initiativesBuild products impacting millions of usersWork with highly talented engineering and product teamsShape the future of data-driven decision making within the organization. When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams. You know best whether you want to work from home or in the office. From "Day 1" you will receive all the equipment you need be successful at work.