Data Scientist

Jelentkezés a cégnél

Cég neve

Teva
Munkavégzés helye

Hajdú-Bihar megye

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

A hirdetés adatait sikeresen elküldte az email címére.

Responsibilities

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

Requirements

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

What we offer

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.

Company info

We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.
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.

Jelentkezés a cégnél

MENTÉS