Senior Data Scientist

Jobtailor; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a senior data scientist to apply quantitative analysis, data mining, and statistical modeling to deliver impactful insights for business and product decisions.

You will drive informed decision-making, collaborate with cross-functional teams, and conduct machine learning analyses to build scalable data solutions that improve product outcomes and adoption.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 5+ years post-Bachelor’s quantitative analysis and data science experience; or Master’s with 4+ years; or PhD with 1+ year.

Responsibilities

• Apply quantitative analysis, data mining, and statistical modeling to deliver insights for business and product decisions.
• Drive timely decisions to improve product creation, execution, and adoption.
• Collaborate with product managers, engineers, product marketers, and designers.
• Identify opportunities within the roadmap for data-scientific contributions.
• Conduct ML or stats analyses and build scalable, rigorous solutions.

Skills

SQL

Python/R

Statistical modeling

Machine learning

Data analysis

Education

Bachelor's degree in statistics, mathematics, economics, CS, engineering or related field

Advanced degree in applied mathematics, statistics, actuarial science, economics or related field

Master’s degree in technical field + 4+ years experience

PhD in related technical field + 1+ years experience

Tools

Job description

Responsibilities

• 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
• Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data‑scientific contributions
• Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
• Communicate best practices in quantitative analysis and develop cross‑functional partnerships
• 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

Requirements

• 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
• 5+ years of post‑Bachelor’s quantitative analysis and data science experience; or a Master’s degree in a technical field + 4+ years of post‑grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post‑grad quantitative analysis and data science experience
• 5+ years of experience using SQL or similar big data querying languages
• 5+ years of experience with a programming language, such as Python or R
• 5+ 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