Data Scientist, Level 4
Job in
California, Moniteau County, Missouri, 65018, USA
Listed on 2026-07-21
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-21
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
- Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
- Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted
- Collaborate with product managers, engineers, product marketers, and designers
- Utilize AI tools and high-velocity analytical workflows to develop scalable data solutions, generate actionable insights, and accelerate decision-making while maintaining rigorous standards for accuracy, methodological integrity, data quality, and operational excellence
- Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience
- 3+ years of post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science; or a Ph.D. in a relevant technical field.
- 3+ years of Experience using SQL or similar big data querying languages
- 3+ years of Experience with programming language, such as Python or R
- 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
- Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
- Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
- Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.
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