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Cologne
Neu Veröffentlicht am 02.10.2024 Festanstellung

Senior Data Scientist

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

Standort

SR2 | Socially Responsible Recruitment | Certified B Corporation™, Cologne