About you:

As a Data Scientist you will develop and deploy machine learning models that will drive business decisions and improve user experience. You will utilize your strong problem-solving skills, programming know-how, and business analytics to solve real-world problems at scale.
You will access and analyze a variety of data to perform descriptive, predictive and prescriptive analytics, working closely with stakeholders from different teams (Sales, Marketing, Product, and Technology). You will be responsible for creating stable models that will run in a production environment.
The candidate will have a quantitative background, and past experience working collaboratively with business partners to deliver impactful data products.

Required Skills and Experience:

• Proficient in Python and SQL
• Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc) 
• Working experience with the development and deployment of predictive models, with an emphasis on time series and categorization models.
• Strong statistical foundation
• Skilled in cross-team collaboration and in communicating technical ideas to a non-technical audience
• Experience with model development/deployment best practices (documentation, git, environments, unit tests...)
• An investigative journalist-type approach when it comes to getting answers to a problem
• 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
• 3 years of relevant working experience

Preferred Skills and Experience: 

• Experience with ML services like AWS Sagemaker, DataBrew, Feature Store
• Experience in model deployment, and model monitoring (drift, performance, etc.)
• Experience with prototype-to-production code development
• Experience in working closely with data engineers

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