Data Science Team Lead
hace 2 días
Job DescriptionResponsibilities:Lead and mentor a team of data scientists. Manage project timelines, resources, and staffing.Design and implement machine learning models and algorithms ensuring their robustness, scalability, and performance.Develop and manage the strategic direction of machine learning projects, aligning initiatives with broader business goals and translating business challenges into actionable data science projects.Facilitate team collaboration and cross-departmental communication, convey complex data insights to non-technical stakeholders, and represent the data science team in executive decision-making processes.Stay updated with the latest developments in machine learning, artificial intelligence, and related technologies. Implement best practices.Requirements:4+ years of engineering experience, at least 1 year in a leadership role.Strong knowledge of Machine Learning.Advanced knowledge of Python & DS packages (numpy/pandas/sklearn/keras, etc.); ability to optimize and speed-up code.Solid experience with SQL (MySQL, Google BigQuery); understanding of data warehousing and ETL processes.Know how to deploy models to production: Flask/FastAPI, Linux, Docker, GitLab CI/CD, GCP.Understanding algorithms & data structures; software & system design principles.Strong knowledge in Probability and Statistics (e.g. MLE; CLT; hypothesis testing; Bayesian inference).Analytical Thinking, Problem-Solving Skills, Attention to Detail.Big Picture Vision, Strategic Thinking.Proactivity and Initiative, autonomy.Business Acumen: the ability to leverage data science to drive business value.Curiosity and Learning Agility; desire to invest extra efforts for personal and professional growth.Strong leadership and communication skills.Application Process:1st stage: pre-screen with a recruiter.2nd stage: 1st technical interview with hiring manager.3rd stage: 2nd technical interview with the hiring manager.4th stage: a final interview with CPO and HRBP.5th stage: referrals.6th stage: offer.What We Offer:28 BUSINESS DAYS OF PAID OFFFLEXIBLE HOURS AND POSSIBILITY TO WORK REMOTELYMEDICAL INSURANCE AND MENTAL HEALTH CARECOMPENSATION FOR COURSES, TRAININGSENGLISH CLASSES AND SPEAKING CLUBSINTERNAL LIBRARY, EDUCATIONAL EVENTSOUTSTANDING CORPORATE PARTIES, TEAMBUILDINGS
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