Applied Machine Learning Scientist

• Work with a team of product managers, data scientists, data engineers and architects to build targeted products that help customers solve and answer specific problems.
• Utilize code (Python, SQL) for analyzing and building ML models to solve business problems.
• Build, test and deploy customer-facing analytical and ML endpoints & APIs that are a mixture of business logic, model and data.
• Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support.
• Work backward from customer use cases, resulting in the implementation of ML models that solves the use cases at scale.
• Articulate concepts and generate visual representations of the data product.
  
  

• Bachelor’s or Master's degree in a field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics, or equivalent experience
• Experience building solutions with SQL and Python
• Experience with wrapping models in C/Python code and serving them as REST APIs
• Relevant work experience in an analytical role involving data extraction, analysis, and communication of findings
• Experience deploying models into the cloud with tooling like Docker & Kubernetes
• Experience automating data augmentation and refresh using Airflow and Bash Scripting
• Ability to effectively communicate technical solutions to engineering teams and business audiences
  
  

• Medical, dental, vision, life, and pet insurance plans and 6 free sessions each year with a licensed therapist to support your emotional wellbeing
• Paid time off (PTO) and 6 company holidays per year
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no match required
• Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education and tools
• Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents
  
  

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.