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BlueRose Technologies

Data Scientist

BlueRose Technologies
Germany · Contract · Mid-Senior

Job Title: Data Scientist

Job Location: Frankfurt, Germany (Hybrid, WFO 10 days per month)

Job Type: Contract job opportunity


Job description:

• Minimum of 5 years of experience in a data science role, with a focus on building and deploying models in production

• Proven expertise in multivariate time series modeling as a must-have skill, and demonstrated knowledge in other branches of machine learning, including supervised and unsupervised learning

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline

• Advanced skills in feature engineering and selection

• Proficiency in Python and SQL for data analysis and modeling

• Strong understanding of machine learning algorithms and statistical modeling techniques

• Experience with AWS cloud services, particularly Redshift for data storage and analysis, and SageMaker for model deployment

• Excellent communication and leadership skills with the ability to effectively lead and mentor a team

• Strong problem-solving and critical thinking abilities with a keen attention to detail

• Proven track record of successfully leading and delivering data science projects within a fast-paced environment is a must

• Proactive mindset and strong coding skills

Nice-to-Have:

• Experience with big data technologies and frameworks (e.g., Hadoop, Spark)

• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)

• Knowledge of data visualization tools and techniques for communicating insights to non-technical stakeholders


***Only the candidates with valid work visa in Germany are requested to apply, as we are unable to sponsor at this point of time**

Key Skills

Ranked by relevance

machine learning data visualization deep learning data analysis tensorflow big data storage python hadoop cloud sql aws
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Posted
Jul 15, 2025
Type
Contract
Level
Mid-Senior
Location
Frankfurt

Industries

IT Services IT Consulting

Categories

Information Technology

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