Position: Senior DS
Company: X5 Group
Format: Full-time (40 hours per week).
Location: Remote work (but if desired, you can work from the office at Oasis Business Center, Moscow)
Salary Range: 300k-500k
💡The ad-hoc analytics team from X5 Group (Pyaterochka, Perekrestok, Chizhik, etc.) is looking for experienced DS specialists!
🔬Why is it interesting to work with us?
More than 29 thousand stores, 50 million customers, petabytes of data – and all of this needs to be analyzed.
Every day, we demonstrate that our supermarkets are actually a digital project where Big Data and a Data-Driven approach play a significant role.
You will work in the stream of evaluating the financial effectiveness of investment initiatives.
🔭What will you be doing with us?
- Designing and evaluating non-standard experiments through A/B testing (our platform handles the standard ones);
- End-to-end development of methodologies and tools for evaluating effects in cases where classical A/B tests are not applicable;
- Conducting full-scale research to apply the best tools in the industry;
- Writing interesting articles based on the results of completed tasks and more.
😎You are a good fit for us if you:
- Have at least two years of experience in the DS field;
- Have a background in Causal Inference / Econometrics (science, studies, work);
- Possess a fundamental understanding of financial concepts (EBITDA, IRR, NPV, Feasibility Study) and the logic of constructing financial models for investment projects;
- Are familiar with modern approaches to analyzing cross-sectional and panel data (Doubly Robust Estimators (AIPW), DiD, TWFE, IV);
- Can write clean and structured code in Python, know classical algorithms and data structures;
- Know SQL – can build optimal queries, familiarity with the Hadoop stack will be a plus;
- A/B testing, hypothesis generation and verification (experience with variance reduction, CUPED, linearization, and bucket methods will be a plus);
- Will be an advantage: experience working with (docker, kubernetes, pyspark, kafka, postgres, airflow).
🎁What we offer:
- Opportunity to work remotely or in a hybrid format;
- Quarterly bonuses based on performance results;
- Convenient office near m. "Dobryninskaya" / convenient office with free parking near m. "Volgogradsky Prospekt" / MCD "Kalitniki";
- Flexible work schedule (starting from 8/9/10 am) / Work schedule: 5/2, from 9:00 to 18:15 (on Fridays – until 17:00);
- Comprehensive VHI package (including travel abroad and dentistry), life and health insurance;
- Opportunities for learning and development at the company's expense;
- Motivation programs for speakers and authors;
- A great team, a warm atmosphere, and fun retrospectives with games and meme battles, as well as offline team-building events.
Answers to 10 important questions:
- Data: Petabytes of data, Hadoop, Hive, Spark stack.
- Hardware: 2 servers for calculations for the team, each Intel Xeon 32Core 256 GB RAM Bare Metal.
We store data in Hadoop.
Regarding laptops – HP / Dell are provided.
- Scale of impact on core business? Solved tasks affect over 22,000 stores across the country.
- Level of Data Science development in the company? Data Science is identified as one of the key directions in the company.
- Role of a Data Scientist: full cycle from understanding business needs to implementing solutions to address them.
- Background of your supervisor? Linkedin
- How often will you be interrupted from work? We won't interrupt work, 3-4 hours of regular meetings per week.
- Career growth: growth based on performance reviews, which are conducted twice a year.
- Prod/Research: any task can arise, so it's research + prod.
- Service or leader function? At the internship stage, 100% service.
Send your resumes in the format "Last Name First Name Resume SENIOR" and the vacancy details to: recruiter contact
