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in Blank, MD
Data Scientist
•20 days ago
Estimated Pay | $60 per hour |
---|---|
Hours | Full-time, Part-time |
Location | Blank, Maryland |
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Estimated Pay We estimate that this job pays $59.89 per hour based on our data.
$34.59
$59.89
$86.72
About this job
Job Description
Job Description
Solve IT Strategies is looking for Data Scientist. This role is Remote.
The Main Responsibilities of a person are:
- Collaborate with Marketing and Product teams to help shape the data strategy for Incentives program, owning development of all data requirements needed to support program operations.
- Act as a strategic partner to functional teams: initiate and execute deep analyses and models to prioritize opportunities and provide actionable recommendations.
- Design and guide experiments/analysis to measure impact and drive product improvements.
- Measure business performance, develop / refine core metrics and create reporting to understand and monitor them.
- Synthesize data learnings into compelling stories and communicate them throughout and to senior executives.
- Conduct deep dives to help solve complex problems to drive impact for our business.
- Initiate, develop, and maintain data pipelines with outstanding craftsmanship.
Skills:
- 3+ years relevant experience.
- Ability to independently create plans for projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
- Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.).
- Experience in data analyses using SQL.
- Experience in programming/modeling in Python.
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Bonus:
- Data engineering skills + a willingness to do lower level work to improve data foundations as needed.
- Familiarity with incentive mechanisms, promotional structures, and rewards dynamics.
- Knowledge of the crypto market and experience working with cryptocurrencies
Education:
BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) preferred