Senior Data Scientist, E-commerce ML & A/B Testing, Remote

Constructor; United States; Remote; USD 80,000 - 120,000; Full time

Benefits offered by this job

Remote work

Unlimited vacation

Home office stipend

Apple laptops

Training budget

Stock options

Parental leave

Job summary

Constructor is hiring Senior Data Scientists to work with data from major ecommerce clients, applying statistics and machine learning to improve revenue, conversion, and profit.

You will design and analyze experiments, study how ranking, personalization, and recommendations behave, and align model performance with business outcomes while collaborating across teams in a fast-paced environment.

Qualifications

• Strong experience solving business problems using data science and statistics.
• SQL proficiency and experience with large datasets.
• Strong Python skills for analysis and modeling (pandas, NumPy, scikit-learn, visualization libraries).
• Deep understanding of A/B testing, experiment design, and statistical inference.
• Experience with e-commerce data or large-scale user behavioral data is a plus.

Responsibilities

• Design, run, and analyze A/B tests measuring impact on key business metrics like revenue, conversion rate, and profit.
• Apply statistical methods and machine learning to solve business and product problems.
• Develop a deep understanding of how our search, ranking, and personalization algorithms work, and how to evaluate and improve them.
• Analyze large-scale behavioral data to generate insights and recommendations for customers and internal teams.
• Build analyses, models, and tools that help teams make better decisions.
• Communicate findings clearly to technical and business stakeholders.

Skills

SQL

Python

A/B testing

Statistics

Large datasets

Data storytelling

Tools

Pandas

NumPy

scikit-learn

Visualization libraries

Job description

Constructor is hiring Senior Data Scientists to work with data from major ecommerce clients, applying statistics and machine learning to improve revenue, conversion, and profit.

You will design and analyze experiments, study how ranking, personalization, and recommendations behave, and align model performance with business outcomes while collaborating across teams in a fast-paced environment.