The IT сompany Andersen invites a Data Analyst / ML/AI Engineer to work on large-scale projects.

Andersen is a European pre-IPO software development company uniting over 3,500 top-class professionals. For more than 18 years, we have been helping enterprises and middle-sized firms transform their businesses by creating effective digital solutions using innovative technologies.

Immerse yourself in a global landscape as we collaborate with enterprises spanning North America, Western Europe, Israel, Australia, and the UAE. Our diverse expertise extends across FinTech, Healthcare, Retail, Telecom, Media & Entertainment, Logistics, Travel & Hospitality, eCommerce, and more.

Responsibilities:
- Analyzing, cleaning, and transforming complex datasets using advanced SQL and Python to deliver actionable business insights.
- Designing and executing statistical models, hypothesis tests, and A/B experiments to support data-driven decision-making.
- Building, training, and optimizing machine learning models (regression, classification, clustering, deep learning) and deploying them into production.
- Developing document AI and Generative AI solutions, including OCR pipelines, RAG workflows, and intelligent document processing.
- Applying data governance principles to ensure compliance with frameworks and regulations (GDPR, CCPA, HIPAA) while maintaining agility.
- Architecting and scaling data solutions on cloud platforms (AWS, GCP, Azure) using serverless and containerized approaches.
- Creating clear, impactful data visualizations and interactive dashboards for both technical and non-technical stakeholders.
- Collaborating with cross-functional teams across global locations, ensuring alignment on data strategy and solution delivery.
- Driving innovation in AI/ML while continuously improving data quality, system performance, and user adoption.

Must-haves:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
- Experience in data-centric roles (Data Analyst, Data Scientist, ML Engineer, AI Developer) for 3+ years.
- Strong expertise in SQL, Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch), and statistical modeling.
- Hands-on experience with Generative AI, document AI pipelines, OCR technologies, and orchestration frameworks (LangChain, LlamaIndex).
- Proficiency in building predictive models and deploying ML workflows following MLOps best practices (Docker, Kubernetes, CI/CD).
- Experience with big data tools (Hadoop, Spark, Kafka) and cloud-native architectures (AWS, GCP, Azure).
- Solid understanding of data governance, compliance frameworks, and security practices.
- Skilled in data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) with proven ability to communicate insights clearly.
- Strong collaboration and stakeholder management skills, with experience working in agile, distributed, cross-functional teams.
- Relevant certifications in Cloud, Machine Learning, or Generative AI (e.g., AWS ML Specialty, Azure AI Engineer).
- Level of English – from Intermediate+ and above.

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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