Responsibilities
- Formulate project plans with clear rationale, candidate approaches and milestones.
- Employ a high degree of mathematical rigor and best practices for software development.
- Collaborate with cross functional stakeholders to identify key initiatives for the Investing area and champion the role of Data Science within these initiatives.
- Formulate project plans with clear rationale, candidate approaches and milestones.
- Guide execution of project plans with a combination of delegation and hands-on work.
- Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations.
- Enhance overall Data Science team execution through hands-on help, design feedback and peer review.
- Identify and formulate steps to automate repetitive manual work (toil).
Requirements
- A Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Operations Research, or Natural Sciences with 4+ years of prior experience in a Data Science role. Exceptions to these requirements may be considered on a case-by-case basis.
- Prior experience in financial services or knowledge of finance basics is helpful but not required.
- Strong communication and collaboration skills and a record of partnering across organizations to sharpen project requirements. Sometimes this includes re-framing the original request to solve a more general problem with similar effort.
- Hands-on mathematical and software engineering skills to execute on complex projects.
- Proficiency in Python and SQL.
- Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills.

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