Senior Data Scientist, Product - Remote-First Impact

United States Digital Space LLC; United States; On-site; USD 164,000 - 183,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Scientist to improve customer experience across consumer products, including trading, yield, and expansion initiatives. You will define metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.

The role requires proficiency in SQL and Python, with 5+ years of experience (or a PhD with 3+ years) in quantitative fields, and a track record of data-driven impact in digital products.

Qualifications

• BA/BS in a quantitative field (Math, Stats, Physics, CS) with ≥5+ years experience or PhD with ≥3+ years
• Proven success leading data science projects solving ambiguous problems
• Ability to translate data learnings into compelling stakeholder stories
• Strong modeling framework experience applied to business problems
• Professional experience with SQL and Python
• Experience working with digital products in iterative development cycles
• Demonstrated commitment to core values: clear communication, positive energy, continuous learning, execution

Responsibilities

• Conduct analyses and deep dives on ambiguous problems to yield insights and actionable recommendations
• Own a broad scope of data and metrics from logging to visualizations
• Guide code reviews, provide SQL/Python expertise, and build robust ETL jobs
• Maintain statistical rigor with experimentation and causal analysis for stakeholders

Skills

SQL

Python

Statistical modeling

Experimentation

Data storytelling

Stakeholder influence

Education

Bachelor's in quantitative field

PhD in quantitative field

Tools

Pandas

NumPy

Job description

United States Digital Space LLC is seeking a Data Scientist to improve customer experience across consumer products, including trading, yield, and expansion initiatives. You will define metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.

The role requires proficiency in SQL and Python, with 5+ years of experience (or a PhD with 3+ years) in quantitative fields, and a track record of data-driven impact in digital products.