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SR2 | Socially Responsible Recruitment | Certified B Corporation™
Senior Data Scientist
Cologne
Neu
Veröffentlicht am 02.10.2024
Festanstellung
Are you passionate about data science and looking to make a significant impact in the retail industry? Our Client is a leading innovator in retail analytics, is seeking a talented and experienced Senior Data Scientist to join our dynamic team. If you have a knack for uncovering insights from complex data sets and driving business strategy, this is the perfect role for you!
Key Responsibilities:
Data Analysis & Insights:
- Conduct in-depth analysis of large retail datasets to uncover actionable insights.
- Develop predictive models to forecast sales, customer behavior, and inventory needs.
Time Series Analysis:
- Implement and refine time series models to predict future trends in retail metrics.
- Utilize Python libraries such as Pandas, NumPy, and statsmodels for accurate forecasting.
Machine Learning & AI:
- Design and deploy machine learning models to optimize pricing, promotions, and product placement.
- Explore and apply advanced algorithms for demand forecasting and customer segmentation.
Cross-Functional Collaboration:
- Work closely with marketing, finance, and operations teams to integrate data-driven solutions.
- Present findings and recommendations to stakeholders to drive strategic decisions.
Tool Development & Automation:
- Create automated pipelines for data processing and model deployment.
- Utilize tools like Jupyter, Docker, and Airflow to streamline workflows.
Required Skills and Qualifications:
Technical Expertise:
- Proficient in Python, with a strong focus on libraries such as Pandas, NumPy, scikit-learn, and statsmodels.
- Extensive experience in time series analysis, including ARIMA, SARIMA, and Prophet models.
Analytical Mindset:
- Strong problem-solving skills and the ability to translate business problems into data science solutions.
- Excellent analytical skills with the ability to work with complex datasets.
Communication Skills:
- Ability to clearly communicate complex technical concepts to non-technical stakeholders.
- Proven track record of presenting findings and influencing business strategy.
Educational Background:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- Relevant certifications or coursework in machine learning and data analysis.
Package:
- Salary range €80,000 - €100,000
- 30 Annual leave days
- 10% Performance Bonus
- Stock options available