Senior Data Scientist

Responsibilities:

• Use data science and machine learning principles to develop effective predictive models
• Write software to prepare, clean, and sample data for use in developing predictive models
• Use cloud resources (e.g., Amazon Web Services) to prepare and process data
• Query and extract data from databases (Snowflake)
• Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
• Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
• Solve challenging, uncharted problems
• Work in an environment that thrives on teamwork and continuous learning opportunities

Qualifications:

• Bachelors degree required; degree in applied math, computer science, natural sciences or engineering preferred
• M.S. or Ph.D. in a related field is highly desired
• 5+ years of experience with machine learning, statistical modeling, and optimization techniques
• Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
• Proficient in linear algebra and statistics
• Familiar with scientific software principles, e.g., versioning systems, reproducibility
• Experience in the manufacturing industry is desired