.**Position Summary**:**Primary Accountabilities**:- Demonstrate competence with data science techniques and tools used by the team, including the use of machine learning and statistical analysis- Demonstrate competence in identifying, extracting, cleaning, evaluating, visualizing, and transforming applicable data with a variety of techniques and tools, including various SQL and NoSQL databases- Demonstrate competence in software development (scrum, scripting, programming, versioning, testing, deploying, containerization, production support, etc.)- Demonstrate good communication skills, especially when collaborating with team members- Publicize results and findings via reports, presentations, and technical specifications- Demonstrate a drive to keep skills and knowledge up to date- Demonstrate innovation and continuous improvement- Demonstrate professionalism with focus on customer satisfaction and product quality- Work with direct supervision on specific tasks, but is self-directed and curious- Must be able to function well as part of a team**Required Qualifications**:- Bachelor's degree in Computer Science, Statistics or any related field with an applied quantitative and experimentation focus- Masters or PhD Degree in quantitative and experimentation focused field is preferred- 3-5 years of related work experience in machine learning, data visualization, and other data science techniques; or any equivalent combination of experience and training that provides the required knowledge, skills, and abilities needed to complete the job responsibilities- Extensive experience in software development (scripting, programming, versioning, testing, deploying) on Linux and Microsoft Platforms- Extensive experience in databases (data processing extraction, cleansing and transformation)- Proficient with presentation software: Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences- B.S. in computer science or information systems fields required, or 5+ years related work experience