Senior Data Scientist

Engineering Manager: Personalization @ Constructor; München; On-site; EUR 71,000 - 107,000; Full time

Benefits offered by this job

Fully remote team - choose where you (

Unlimited vacation time

Work from home stipend

Apple laptops provided

Training and development budget

Maternity & Paternity leave

Stock options

Job summary

Constructor.io is hiring a Senior Data Scientist to apply statistics and machine learning to improve revenue, conversion rate, and profitability for some of the world’s largest ecommerce clients. You’ll design and analyze experiments, inspect ranking and personalization models, and translate results into actionable guidance for product and business teams.

You’ll work with massive datasets, collaborate across teams, and influence decisions with clear, data-driven insights.

Qualifications

• Strong experience solving business problems using data science and statistics.
• Solid knowledge of SQL and experience working 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.

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

Data science

Statistics

Experiment design

A/B testing

Tools

Python

SQL

Job description

About Us

Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so.

Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.

We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.

Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.

About The Role

We are hiring Senior Data Scientists across multiple teams at Constructor. Wherever you land, you will work with data from some of the world's largest ecommerce companies, applying statistics and machine learning to problems that directly move business metrics like revenue and conversion rate.

Our data scientists design and analyze experiments, dig into how our ranking, personalization, and recommendation algorithms behave, and connect model performance to real business outcomes. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact.

What You'll Do

• 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

Requirements

• Strong experience solving business problems using data science and statistics

• Solid knowledge of SQL and experience working 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

Product & data understanding:

• Understanding of machine learning systems: how models are trained, evaluated, and tuned

• Experience connecting model or algorithm performance to product funnels and business metrics

• Familiarity with ranking, recommendations, or search relevance is a plus

Communication & ownership:

• Ability to communicate insights clearly to both technical and business audiences

• Comfortable working independently with multiple stakeholders in a fast-paced environment

Preferred skills:

• Experience working in e-commerce or with large-scale user behavioral data

• Experience in customer-facing analytical work

Benefits

• Work with smart and empathetic people who will help you grow and make a meaningful impact.

• Regular team offsite events to connect and collaborate.

• Fully remote team - choose where you live.

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.

• Work from home stipend! We want you to have the resources you need to set up your home office.

• Apple laptops provided for new employees.

• Training and development budget for every employee, refreshed each year.

• Maternity & Paternity leave for qualified employees.

• Base salary: $80k-$120K USD depending on knowledge, skills, experience, and interview results

• Stock options - offered in addition to the base salary

Diversity, Equity and Inclusion At Constructor

At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.

How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized.