Data Scientist

Andersen is hiring a Data Scientist to support an automotive e-commerce platform for pre-owned vehicles, using data to improve customer experience, engagement, and online sales performance.

The customer is a diversified business group in the automotive domain providing vehicle distribution, aftersales services, leasing, used-car programs, and commercial solutions through a nationwide network of showrooms and service centers. The company focuses on long-term partnerships with global brands and delivers technology-driven customer experiences across all stages of the automotive lifecycle.

The project is focused on designing and delivering a user-centric e-commerce platform for pre-owned vehicle sales, aimed at improving customer experience, increasing engagement, and driving online sales. The solution supports customer retention and acquisition by providing valuable digital services and a seamless purchasing journey.

Responsibilities:
- Designing and implementing segmentation and clustering frameworks across customers, products, channels, or lifecycle stages.
- Selecting appropriate statistical and analytical methods based on business objectives, data maturity, and segment granularity (macro and micro-segments).
- Independently owing analysis from problem definition through insight delivery.
- Identifying trends, patterns, and anomalies across sales, post-purchase behavior, and customer engagement.
- Translating analytical results into clear, actionable insights for business and leadership stakeholders.
- Building high-quality dashboards and analytical views using Power BI.
- Supporting decision-making with data-backed recommendations and scenario analysis.
- Integrating and analyzing data from multiple sources, including enterprise and transactional systems, web and app behavioral data, digital marketing and advertising data, CRM and customer interaction data.

Must-haves:
- Experience as a Data Scientist for 4+ years.
- Strong hands-on experience with Python and/or R for data analysis, statistics, and modeling, using tools and frameworks such as NumPy, Pandas, scikit-learn, TensorFlow, and working environments like Jupyter.
- Experience working with large, multi-source datasets, including behavioral or event-level data.
- Solid understanding of applied statistics, segmentation, and clustering techniques, with the ability to justify analytical choices.
- Experience working with automotive, retail, consumer, or similar data-rich business domains.
- Ability to quickly understand business processes such as customer lifecycle, sales, service, and channel performance.
- Strong analytical ownership and ability to work independently.
- Level of English – from Intermediate+ and above.

Nice-to-Haves:
- Experience with SAP BW, SAP ECC, or SAP data objects.
- Advanced proficiency in Power BI, including data modeling, DAX, Power Query, and performance optimization.
- Familiarity with Salesforce CRM data structures.
- Understanding of ETL concepts, data mappings, and integration workflows.
- Exposure to Informatica or similar data integration tools.
- Exposure to machine learning or predictive analytics use cases.

Reasons why this job would be interesting to you:
- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
- The opportunity to change the project and/or develop expertise in an interesting business domain.
- Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
- The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
- Certification compensation (AWS, PMP, etc).
- Referral program.
- English courses.
- Private health insurance and compensation for sports activities.

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