Data Scientist at SPG Resourcing analyzing data and shaping strategic direction. Collaborating across teams and developing data strategies to enhance products and services.
About the role
- Senior Data Scientist managing diverse AI solutions and project leadership. Collaborating with teams and clients to implement innovative data strategies and technologies.
Responsibilities
- Creative approach to developing new and enhancing existing AI solutions
- Successfully lead and grow projects and client engagements in complex situations
- Maintain intensive communication with our clients, e.g., about ideas, results, blockers, and dependencies
- Take technical responsibility in the area of AI / Data Science, from data preparation and analysis through feature extraction to modeling, evaluation, and optimization
- Lead or contribute to software development to implement robust AI solutions and integrate them into clients' IT processes
- Work closely with other data scientists and software developers to turn AI models into usable software solutions
- Actively help shape processes and technologies in a growing, dynamic team
Requirements
- Degree in a STEM field or a comparable discipline
- At least 2 years of experience as a project lead in Data Science / AI, from requirements gathering to operationalization and, if applicable, beyond
- Strong knowledge of statistics, machine learning, generative AI, and mathematical optimization
- Excellent skills in the Python programming language
- High degree of independent, solution-oriented working, strong team spirit, and high motivation and commitment
- Very good German and English language skills
Benefits
- Flexible working hours, part-time options, and flexible work locations (within Germany) for a good work–life balance and compatibility of family and career
- A varied and responsible role in an innovative and dynamic environment
- Freedom to drive forward your own ideas
- Time for individual professional development, including up to 4 hours per week for internal or external training
- Private use of laptop and mobile phone, plus financial support for setting up a home office
- Collaboration in a motivated team with flat hierarchies
- 30 days of vacation per year
- Bike leasing
- Regular team events
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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