Senior Data Scientist
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Collaborate with subject matter and technical experts to strategize analyses, utilize existing algorithms/tools, and derive actionable insights.
- Recommend data framework or architecture to optimize data analytics.
- Use storyboards, wireframes, mockups, and simple prototypes; and develop them into real solutions.
- Help to develop design specifications and proof-of-concept solutions in response to business insight needs.
- Ensure that outputs, including data visualization and associated messaging, are of consistent high quality and ready for client presentation.
- Collect feedback from the application of models, contributing to model refinement and the development of innovative tools/features.
- Communicate both in writing and verbally with technical and non-technical cross-functional teams and use analytical tools effectively and efficiently.
Qualifications
- Possession of a master’s or Ph.D. degree or equivalent professional experience, with a significant focus on quantitative, computational, descriptive, inferential, and mathematical statistical analytics.
- Technologies: Node, Typescript, Java, React, JavaScript, PostgreSQL, MongoDB, Github, Git Flow, AWS, Agile, Scrum
- Experience with machine learning and AI.
- 5+ years experience
