About you:

As a Senior Data Scientist you will lead the development and the deployment of machine learning models that will drive business decisions, with a focus on model monitoring. You will mentor junior data scientists, and lead the data team expansion and adoption of good practices.
You will utilize your strong problem-solving skills, computational experience, and business analytics to solve real-world problems at scale. You will design and implement a variety of data products to support and drive business operations. You will cooperate with other business leaders from different teams (Sales, Marketing, Product, and Technology).

Required Skills and Experience:

• Proficient in Python and SQL
• Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc)
• Professional experience with the development and deployment of predictive models, with an emphasis on time series and categorization models.
• Professional habits around model validation, testing, and tracking
• Knowledgeable of best practices such as version control (git), documentation, environments, unit tests, containerization, and task scheduling
• Experience with statistical techniques and their applications in a business environment
• An investigative journalist-type approach when it comes to getting answers to a problem
• Comfort with cross-team collaboration and communicating technical ideas to a non-technical audience
• Strong quantitative background, having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field
• 5 years of relevant working experience

Preferred Skills and Experience: 

• Experience with ML services like AWS Sagemaker, DataBrew, Feature Store
• Experience with prototype-to-production model development
• Experience with model monitoring (drift / performance…)
• Comfortable in working on the line between data science and data engineering

Perks:

• Remote-first work environment (within the continental United States)
• Virtual happy hours and team social activities
• Generous benefits package with cost of some medical and dental plans covered at 100%
• 401(k) plan with match that immediately vests
• Professional education reimbursement program
• Paid Parental Leave