Data Scientist

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September 18

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DistantJob

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Recruitment • HR Tech • SaaS

DistantJob is a remote staffing agency specializing in the recruitment of top-tier technical talent from around the world. Unlike traditional outsourcing firms or freelance sites, DistantJob focuses on offering headhunting services to find individuals who fit specific job requirements and company cultures. They provide cost-effective staffing solutions by sourcing talent from offshore locations while maintaining high quality and retention standards. DistantJob takes a tailored approach to recruitment, ensuring candidates have both the hard and soft skills needed for success, and facilitating a seamless integration into client companies.

51 - 200 employees

🎯 Recruiter

👥 HR Tech

☁️ SaaS

📋 Description

• Transform and organize complex retail transaction data, including receipt-level information and product catalog matching • Operate effectively within SQL-constrained clean room environments for data analysis and processing • Calculate incremental advertising impact on critical business metrics, including revenue and customer acquisition • Implement both experimental (randomized controlled trials) and observational methodologies • Deploy advanced causal inference techniques for longitudinal data analysis, including difference-in-differences, synthetic control methods, and variations • Apply causal machine learning approaches such as double machine learning and other innovative techniques • Design and structure controlled experiments where feasible • Create reliable causal inference frameworks for scenarios where traditional experimentation isn't possible • Translate complex technical findings into accessible insights for business stakeholders • Collaborate directly with clients to understand business context, operations, and strategic objectives • Explore and integrate novel data sources and analytical approaches to expand measurement capabilities

🎯 Requirements

• Exceptional analytical mindset with passion for data exploration and pattern recognition • Expert-level SQL proficiency • Advanced Python skills including data manipulation frameworks (Pandas, NumPy, etc.) • Comprehensive Machine Learning knowledge with demonstrated real-world application experience • Specialized expertise in causal inference methodologies • Experience with longitudinal data analysis, observational studies, and experimental design • Proficiency with data visualization platforms (Tableau, Power BI, or similar) • Strong foundation in data integration, ETL workflows, and database architecture • Deep understanding of statistical modeling, sales attribution models, and controlled testing frameworks • Experience with major advertising platforms and walled garden environments (Meta, Google Ads, Amazon, etc.) • Excellent communication abilities to effectively engage both technical and business audiences • Master’s degree in Data Science, Statistics, Computer Science, or related quantitative field preferred • Minimum 3+ years of data science experience with emphasis on consumer behavior analysis and sales measurement • Prior experience with walled garden platform integration is highly valued