Data Scientist /Analytics

• Our team develops projects that drive evidence-based commercial decision making by providing timely, actionable, and forward-looking model insights to business stakeholders.
• Candidates must possess a strong foundation in econometrics, interpretable machine learning, and statistical inference, coupled with coding proficiency in either R or Python and the flexibility to use the other as necessary. They should also have effective communication skills for engaging with both business stakeholders and technical colleagues.
• Work with data warehouse and software engineering team to productize analytic application in a highly interactively dynamic shared ownership environment.

Additional Info:

• Project Details: Commercial analytics, brand positioning, pricing, assumption management, demand forecasting, and risk modeling.
• Some maintenance work but mostly new development work.
• Must haves: Solid background in econometrics, interpretable machine learning, and statistical inference coupled with a robust statistical and analytical acumen; effective communication skills; proficiency in coding with at least one of R or Python, with the ability to utilize the other as needed; creative, initiative, critical thinking, and proactive problem-solving abilities.
• Good to have: experiences in AWS, BigQuery, SQL, R-shiny, and Dash.
• Not interested in: Poor communication skills. Poor knowledge of basic statistics. Programmers and DB admins misrepresenting themselves as data scientists.
• Required: a bachelors degree and 5 years of experience, or a Masters degree with 3 years, or a PhD, in Economics, Statistics, Marketing, or a related STEM field.
• Open to recent graduates with a PhD, as research experience fulfills the requirement for work experience