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Applied Researcher, Data Science
Location
United States
Posted
18 days ago
Salary
0
Seniority
Mid Level
Job Description
Applied Researcher, Data Science
Dstillery
Role Description As an Applied Researcher on the Data Science team, you will play a critical role in bringing new products to market. - 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 - Independent research experience is mandatory. - A Ph.D. in a quantitative field (e.g. machine learning, statistics, physical science, or quantitative social science) is preferred, or a M.S. in Machine Learning or statistics with at least 3 years of independent research. - 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 models 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 and/or presentations in a quantitative field. - Intermediate programming skills. - You should be ready to learn and work with Python, Google Cloud Platform, Scikit-learn, TensorFlow, PyTorch, Spark, BigQuery and SQL.
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