Junior Data Scientist analyzing client data and developing predictive models for financial solutions at MAG. Collaborating on data analysis for strategic decisions and automating processes using Python.
ZA
Hybrid Data Scientist / Machine Learning Engineer
Posted 4 hours ago
About the role
- Data Scientist/ Machine Learning Engineer for a digital product company in Cologne. Focus on building solutions for recommendation systems and machine learning services.
Responsibilities
- You create new machine learning services with a focus on recommendation and ranking systems, information extraction and predictions, including conceptualization, data preparation, model training and evaluation, and subsequent preparation for go-live.
- You manage your training experiments with modern MLOps frameworks such as MLFlow, helping to take their product to the next level.
- You integrate your models into their product both in terms of content and technology, using cloud technologies (AWS), for example, and in close collaboration with the development team.
- You keep up to date with the latest developments in the field of machine learning.
- You will work in a cross-disciplinary team in direct collaboration with product managers, developers and business intelligence managers.
Requirements
- Very good degree, e.g. in data science, (business) informatics, mathematics, physics or statistics.
- First practical professional experience in data science projects, preferably with first insights into ranking and recommendation systems.
- Sound knowledge of the Python data science stack (Pandas, SKLearn, SciPy) as well as experience with deep learning frameworks (Pytorch, Tensorflow).
- Creativity and curiosity in applying the latest algorithms from the field of data science to optimize their products.
- Motivation for interdisciplinary work between IT and product management and for knowledge exchange within the company’s Data Science Community.
- Very good written and spoken German and English skills.
Benefits
- Flexible working time model with three days per week in the office and two days flexibly from the office or from home.
- Personal growth: they support your development with further training and regular feedback meetings to recognize and develop your strengths and potential.
- Open-ended contracts with an attractive and performance-oriented salary package including annual bonuses.
- Fitness cooperations, subsidized company bicycle leasing, etc.
- Independent, agile work in small teams with a strong team spirit.
- Short decision-making processes.
- Ergonomic workplace with modern equipment, including two additional screens and height-adjustable desks, from your first day at work.
- And much more.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist optimizing user engagement through experimentation and causal inference in AI performance evaluation. Collaborating across teams to provide actionable insights and develop scalable data pipelines.
Data Scientist delivering data science projects for Samba TV. Working on knowledge graphs, audience modeling, and mentoring junior team members.
Data Scientist at PulseRise Technologies driving data - informed decisions in crypto payments infrastructure. Collaborating with product leaders and CFO for insights on user journeys and transaction flows.
Senior Data Scientist at Navy Federal Credit Union providing data science and advanced analytics insights for decision - making. Collaborating with business units to optimize products and strategies.
Senior Data Scientist driving analytics and machine learning for b_labs at B.TECH. Collaborating with teams to innovate and support the company's goal of becoming a leading omni - channel platform in Egypt.
Data Scientist at SPG Resourcing analyzing data and shaping strategic direction. Collaborating across teams and developing data strategies to enhance products and services.
Junior Data Scientist supporting analytical projects to facilitate decision - making for companies in Brazil. Involves data preparation, cleaning, and preliminary analysis for effective insights generation.
Senior Data Scientist at Keyrus focused on advanced analytics and machine learning. Responsibility includes data structuring, analysis, and predictive modeling in a hybrid work setting.
Data Scientist in Klee Group's Data & AI team developing innovative AI solutions. Collaborating with clients and teams in a hybrid work environment with autonomy and support.