Senior Data Scientist
Employment type
Full-time
Work setting
On-site
Location
Saint Louis, MO
Schedule
Day shift
Posted
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Job overview
The Senior Data Scientist role is listed in Saint Louis, MO; the posting does not specify a work arrangement. Compensation is not specified. Tiger Analytics is an advanced analytics consulting firm that helps Fortune 500 companies generate business value from data. The data scientist applies statistical methods, machine learning, and analytics to business problems, translating hypotheses into validated models and actionable insights. The role supports data-backed decisions and measurable business value through collaboration with business, product, and engineering teams.
What you'll do
- Apply statistical and machine-learning methods to business problems
- build, validate, and deploy predictive and analytical models using Python
- extract, transform, and analyze large datasets using SQL
- apply causal inference methods such as causal machine learning, matching models, or uplift modeling
- collaborate across product, business, and engineering teams
- present findings to technical and nontechnical stakeholders
- monitor data quality and model performance and improve analytical workflows.
What we're looking for
- Skills & competencies
- senior data scientistsaint louis motiger analyticsdata sciencemachine learningartificial intelligencepythonsqla/b testingcausal inferencepredictive modelinganalytics consulting
- Work arrangement
- Weekend coverage required
Benefits & perks
- Career development opportunity in a fast-growing environment with a high degree of individual responsibility.
About the employer
Tiger Analytics Inc. is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Occupation code
- 15-2051.00
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Listing ID: 8283b045-39c5-4135-a984-dcb682d1406f