Intelliswift Software

Data Scientist, Product Analytics

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist, Product Analytics, offering a 6-month remote contract. Requires a Bachelor's degree, 2+ years in analytics, proficiency in SQL and Python, and experience with quantitative analysis and product strategy.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
October 3, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Statistics #Forecasting #Python #Strategy #R #Data Mining #Mathematics #Scripting #Monitoring #Data Science #SQL (Structured Query Language)
Role description
Job Title: Data Scientist, Product Analytics Location: Remote Duration: 6 Months Data Scientist, Product Analytics: Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Minimum Qualifications: Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] Preferred Qualifications: Master's or Ph.D. Degree in a quantitative field