[Hiring] Data Scientist, Research @Dstillery
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Role Description
This role involves bringing new products to market as a Data Scientist on the Data Science Research team.
• Prototype innovative ideas, conduct experiments, and iterate quickly to develop data-driven solutions for complex business challenges
• Independently work on end-to-end research projects while actively collaborating with a team of data scientists
• Present and promote results to internal stakeholders and external clients and partners
• Support and improve existing data science products
• Analyze large, complex, and noisy datasets to extract actionable insights and support data-driven decision-making
• Design, implement and evaluate machine learning and statistical methods to perform exploratory data analysis, data storytelling and product development
• Design and execute A/B tests and experiments to optimize product performance and maximize revenue growth
• Pursue patents where applicable
• Contribute to thought leadership in the community with presentations and publications
Qualifications
• Ph.D. in a quantitative field (e.g. machine learning, statistics, physical science, or quantitative social science) -- or -- M.S. in computer science or statistics plus two years of professional experience
• Experience using real data to solve real problems
• Expertise in statistical modeling, machine learning, and fluency in the related technical tools
• Interest in applying machine learning to large datasets to solve business problems
• Knowledge of current large language model and generative AI tools and an interest in applying them to data products
• Excellent oral and written communication skills; comfort in a client-facing role
• A track record in contributing to publications, presentations, external collaborations and service to the research community is a plus
• Intermediate programming skills; readiness to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow, PyTorch, Spark, BigQuery and SQL
Benefits
• Paid Medical, Dental and Vision plans
• Learning & Development Expense Reimbursement
• Unlimited Paid Time Off Policy
• Summer Fridays
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