Job Location: Saint Louis, MO
In a typical branch office, a financial advisor meets with clients and receives branch office support, so they can focus on building deep relationships with clients. Headquarters associates in St. Louis, Tempe and Mississauga provide support and expertise to help U.S. and Canada branch teams deliver an ideal client experience. We continue to grow to meet the needs of long-term individual investors.
Senior Data Scientist
Firm Analytics
Come join us in Firm Analytics, where we strive to unleash the full potential of data and AI to address business challenges. As a Senior Data Scientist on our team, you will design, develop and deliver data science solutions requiring advanced mathematical methods, statistical and machine learning models in support of data-driven strategies. You will combine data from multiple sources to develop innovative solutions to business problems and collaborate with business partners and other data scientists to develop tailored analytic solutions that inform and influence business decisions across the firm.
Key Responsibilities:
- Use statistical modeling, machine learning and numerical optimization to discover and leverage patterns in data using [Time Series Analysis, Classification Algorithms, Clustering, Regressions, Recommender Systems, Linear/Nonlinear Optimization, Monte-Carlo simulation, text mining, natural language processing]
- Define data needs and evaluate data quality for applicability to posed problems
- Create features and develop models beyond standard toolset libraries to meet unique business challenges.
- Interpret and communicate findings and insights from the data to business partners, influencing leadership to embed innovative data science solutions and ideas into products and processes.
- Mentor early-career data scientists through collaboration and peer-review
- Collaborate on and advocate for adoption of best practices and cutting-edge methods within the team
Position Qualifications:
- Master of Science Degree in Statistics, Applied Mathematics, Industrial Engineering, Computer Science or related field required. PhD degree desired.
- 9+ years professional experience with predictive statistical models or numerical optimization, and working with typical data used in such analyses
- Proficient in one or more programming languages (Python, R, Scala) with demonstrated ability to mentor others at lower skill levels
- Skilled in manipulating data in one or more of (SQL, Hive, Snowflake)
- Demonstrated ability to translate data into meaningful value propositions for business partners in order to facilitate understanding and generate solutions that are in the best interest of the client and firm
Persons requiring sponsorship for an employment visa are ineligible for this position
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Hiring Maximum: $218,456
Salary: $128299 – $218456
Category: Headquarters
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