Medior Data Scientist

Tasks

• Lead identification of high-impact use cases for ML/AI/GenAI, prioritizing those that drive business performance, uncover optimization opportunities, and fuel revenue and margin growth.

• Collaborate with cross-functional teams to gather and analyze business requirements, translating them into high-impact analytical solutions.

• Develop data science solutions with minimal supervision by preparing and implementing data science algorithms and solutions that meet business needs and requirements.

• Oversee data transformation, feature selection, and data cleansing efforts to ensure datasets are ready for high-quality modeling.

• Lead the selection of suitable modelling approaches and advanced analytics techniques, training and testing of algorithms, and evaluating their performance to deliver robust and efficient solutions.

• Translate complex business problems into scalable, efficient data-driven solutions aligned with organizational goals.

• Ensure smooth integration and deployment of data science solutions by overseeing their handover to Data Engineers, Data Analysts, business stakeholders, and IT Operations teams.

• Actively contribute to shaping and refining the ML/AI strategy and roadmap, influencing the organization’s future data initiatives.

• Mentor and guide junior colleagues while driving knowledge-sharing efforts within the data science team and broader analytics community.

• Promote AI Literacy across the organization, fostering a culture of data-driven decision-making and increasing AI capabilities across teams.

• Take ownership of quality assurance processes, ensure thorough and up-to-date documentation, prepare and execute change requests, and provide third-level support to ensure lifecycle management of data science solutions.

• Support execution of strategic data initiatives and MOL Group's business, functional, and data strategies within Consumer Services, ensuring alignment with organizational objectives.

Requirements

• Education

  • University or college degree, or equivalent work experience.

• Experience

  • 3-5 years of hands-on data science experience (depends on relevancy)

  • Familiarity with agile, Scrum, or other rapid application development methods.

• Professional Competencies

  • Strong analytical skills with the ability to collect, organize, and analyze significant amounts of data with attention to detail and accuracy.

  • Excellent quantitative, analytical and problem-solving abilities with strong business acumen.

  • Ability to communicate data insights effectively through data visualization techniques.

  • Capable of expressing technical and business concepts, ideas, and conclusions in both oral and written formats.

  • Willingness to explore data and systems that have not been analyzed before.

  • Familiarity with Atlassian tools (JIRA, Confluence) and MS Office.

• Technical Skills

  • Knowledge of predictive and prescriptive algorithms and their mathematical / statistical background

  • Experience in at least one of the followings:

    • Statistical programming languages: Python, Scala, R

    • Writing SQL and No SQL queries (PL SQL, T-SQL, Hive, Impala)

    • Business Intelligence platforms such as PowerBI, Qlikview or Tableau

  • Experience with building solutions with LLM-enabled functionality is a plus

  • Experience with Azure/Databricks is a plus

• Soft Skills

  • Result-oriented, able to work independently with minimal supervision and thrive in a fast-paced environment while managing multiple tasks.

  • Strong attention to detail and commitment to delivering high-quality work.

  • Proactive mindset with a positive attitude and a strong sense of ownership, and team mentality.

  • Openness to work with different cultures across CEE.

  • Strong written and verbal communication skills in English for cross-functional collaboration.

  • Growth mindset with a passion for continuous learning, adapting, and staying updated on industry trends and best practices

  • Solution-oriented and accountable.

What we offer

• Work with an advanced and innovative tech stack.

• Collaborate with multinational teams and projects across the CEE region.

• Enjoy tremendous opportunities for continuous learning and growth in a fast-paced, agile environment.

• Explore versatile career paths in a dynamically growing international organization at Local and Group level.

• Gain cross-industry experience through our expanding portfolio of businesses (both within and beyond MOL Group).

• Be part of a supportive and inclusive workplace that values innovation and creativity.

• Enjoy a hybrid work model: two days of home office and three days at the beautiful MOL Campus.

• Access Medicare health insurance and an extensive benefit package, including an annual bonus and maximalized fringe benefits.

• Participate in regular team outings and MOL family events.