Senior Data Scientist (m/f/d)

Posted 2 months agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: EU

🔍 Industry: E-pharmacy

⏳ Experience: 5+ years

🪄 Skills: PythonData AnalysisHadoopMachine LearningSparkData visualization

Bachelor’s degree in Machine Learning, Data Science, Computer Science or a related field (Master’s or PhD preferred).
5+ years of proven experience in machine learning, statistical modeling, and data visualization tools applied in a business environment.
Expertise in programming languages such as Python or R, and familiarity with big data tools (e.g., Spark, Hadoop).
Proven ability to communicate findings effectively to diverse audiences.

Analyze large and complex datasets to derive actionable insights.
Use statistical methods, machine learning models, and advanced techniques to solve high-impact problems.
Collaborate with cross-functional teams to ensure seamless data integration and model deployment.
Provide actionable insights using cutting-edge techniques in machine learning and statistical analysis.
Mentor junior team members, fostering growth and innovation.

Posted 4 months ago

📍 Germany, Luxembourg

🧭 Full-Time

🔍 Fashion and lifestyle

🔧 Requirements

Degree in statistics, (business) mathematics, computer science, physics, economics, psychology, social sciences or a comparable degree.
At least 3-5 years of experience in data science or data analysis.
Analytical mindset and enjoyment of solving complex data problems.
Strong knowledge of Python, SQL and data processing tools.
Experience with cloud platforms (e.g. AWS, GCP, Azure) and their data services.
Strong communication and teamwork skills.
Experience with Marketing Attribution or Media Mix Models as advantage.
Interest in marketing and business analytics.

💡 Responsibilities

Responsible for extracting, cleansing, transforming and integrating complex, high-volume data from multiple sources.
Ensuring a high quality and scalable database for analysis and modelling.
Develop and implement machine learning models and algorithms to support complex business decisions.
Analyze large volumes of data to identify trends and insights.
Plan, implement, and evaluate data-driven models and present results to stakeholders in the customer marketing department.
Ensure data quality and develop strategies to improve data availability and accuracy.
Mentor and provide technical support to junior data scientists and other team members.

AWSPythonSQLGCPMachine LearningAlgorithmsAzureData science

Posted 4 months ago