Medior Data Scientist - MOL Nyrt. - Budapest

Feladatok:

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.

Elvárások:

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.

Amit kínálunk:

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.