Medior Data Scientist

About Digital Factory

It’s a place where the agility of a start-up meets the stability of a global powerhouse!

Be part of our journey as we transform MOL Group’s Consumer Services from a traditional fuel retailer to a cutting-edge, digitally driven consumer goods and mobility services provider. As part of MOL Group’s 2030 - Enter Tomorrow strategy, our mission is to lead the market in Central Europe through innovative digital transformation.

At Digital Factory, we harness the power of data to drive business decisions by building a comprehensive Data Lake and developing advanced analytics solutions in forecasting, category management, pricing, and workforce optimization. We're also revolutionizing customer experience with MOL MOVE, our new digital, app-first loyalty rewards program on the Salesforce platform, designed to personalize and enhance convenience for our customers.

A strong analytical capability led by the Group Data Analytics & AI team within Digital Factory is a crucial element of the successful digital transformation.

About The Role

We are seeking an experienced and passionate Medior Data Scientist to join Digital Factory. The new team member will play a pivotal role in shaping and executing data strategies to meet the data science needs of various initiatives. These include projects within Consumer Services, in other businesses of MOL Group, and external partners and clients.This role will support activities to implement robust, scalable and futureproof data analytics solutions aligned with partner strategies. The role drives the design, end-to-end implementation and lifecycle management of Machine Learning and Advanced Analytics solutions. Delivers business growth by influencing key business decisions and driving untapped sales growth and business optimization opportunities.

Main Responsibilities

• 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.

About Your Experience And Skills

• 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.

How to apply?

If you wish to form the future with us, please submit your applications via our career site- www.mol.hu/karrier

Main Recruitment Steps

• Initial call- You will be contacted by MOL Recruitment via phone for a short chat.
• Short test- You will receive a link to a short test to check your basic analytical skills and SQL knowledge.
• Interview- You can expect three interview rounds, where you can meet your direct manager, some experts from the team, ask your questions and present your skills and career path. We always make sure you receive timely feedback after each round.
• Case study- You will receive a take-home assignment after the first interview.

If you would like to know more about Digital Factory- digitalfactory.info

Meet your Hiring Manager- Péter Szabolcs (https-//www.linkedin.com/in/szabolcspter/)

_At MOL Group, we know that our strength lies in diversity. During the selection process, we provide equal opportunities to all applicants with the appropriate qualifications and work experience, regardless of age, gender, disability, or reduced work capacity, sexual orientation, or ethnicity. At MOL Group, everyone matters.

__If you have any specific needs related to your reduced work capacity at any stage of the recruitment process, please inform our recruitment team! We are happy to assist.

_Employee Status

Regular- Indefinite

Job Level

Individual Contributor

Location

Hungary-Budapest