
Chief Data Science Officer for AI Innovation
5 days ago
Job Description:
- NIX Tech Kft. is seeking a seasoned Data Science Lead to spearhead the design and development of cutting-edge data science solutions, leveraging expertise in data pipelines and ML processes.
- The successful candidate will lead and mentor a team of data scientists, providing technical guidance and oversight to ensure high-quality deliverables.
About Us:
NIX Tech Kft. is a global supplier of software engineering and IT outsourcing services, dedicated to finding tailored IT solutions for multinational clients across various industries.
What We Offer:
- A competitive compensation package.
- A stable employment contract with opportunities for professional growth.
- A mentoring program and comprehensive professional development plan.
- Private health insurance and sports facilities discounts through AYCM sport pass.
- A dynamic work environment with diverse projects and tasks.
- Free training courses, including English language skills enhancement.
- Participation in internal and external events, conferences, and workshops.
- A spacious office in the heart of Budapest, equipped with necessary devices and tools.
Key Responsibilities:
- Leading the design and development of data science solutions, including data pipelines and ML processes.
- Mentoring a team of data scientists, providing technical guidance and oversight.
- Evaluating team performance and providing feedback and coaching.
- Promoting a continuous learning and improvement culture within the team.
- Encouraging collaboration and open communication within the team and with other stakeholders.
Requirements:
- Proven experience in data science, machine learning, and software development.
- Strong leadership and mentoring skills.
- Excellent technical expertise in programming languages (Python), SQL/NoSQL databases (PostgreSQL, MongoDB), Docker, Kubernetes, and MLOps.
- Familiarity with industry-standard tools such as Jira, Confluence, and Spark.
Benefits:
- International projects and collaborations.
- Paid English courses and language support.
- A bike parking facility and free coffee.
- A playroom and shower facilities.
- Free snacks and a modern office environment.
- No dress code policy.
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