Data Scientist
Debrecen, Hungary, 4042
We Are Teva
We are looking for a Data Scientist to join our team and support the development of a data driven organization by designing, building, and improving scalable data solutions. In this role, you will work at the intersection of data engineering, analytics, and architecture, helping to transform raw data into accessible, high quality data products that enable better decision making.
About the Role
As a Data Scientist, you will assess existing data architectures and data maturity, identify gaps, and contribute to the design and development of secure, reliable data platforms. You will collaborate closely with data analysts, data architects, application developers, and automation engineers to ensure data quality, availability, and usability across analytical and operational use cases.
Key Responsibilities
- Diagnose current data architecture and data maturity, identifying gaps and improvement opportunities
- Design and develop data architecture together with data architects, ensuring security, scalability, and maintainability
- Build and maintain data pipelines, data lakes, and data warehouses to support analytical solutions
- Define and implement ETL / ELT processes based on business and analytical requirements
- Improve data quality, security, and automation across data pipelines
- Develop data tools and products that enable automation and easy data access
- Support maintenance, bug fixing, and performance optimization along the data pipeline
- Work closely with data analysts to ensure high quality data for analytical modeling
- Collaborate with application developers to ensure proper data structuring for new solutions
Your Profile
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
- Strong analytical and problem solving skills with the ability to think abstractly and build consensus
- Experience working with relational databases using SQL (PL/SQL, T SQL) in production environments
- Hands on experience with data engineering, databases, and data warehouses
- Familiarity with Big Data technologies such as Hadoop, Spark, Hive, HBase, or similar platforms
- Experience with BI and reporting tools (e.g. Tableau, QlikView, SAP BO)
- Programming experience with Python, UNIX shell scripting, or similar languages is an advantage
- Comfortable working in agile environments with multiple stakeholders
- Strong communication skills, team spirit, and a proactive, service oriented mindset
- Ability to thrive in a fast paced environment and build trustful working relationships
- Fluent English and Hungarian, both written and spoken
How We’ll Take Care of You
At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community. When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.
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Teva’s Equal Employment Opportunity Commitment
Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.