Senior Data Scientist - (Logistics, Workforce)

Requirements

• You have at least 3 years of experience applying methods from machine learning to real-world datasets.
• Fluency in Python and familiarity with its scientific/visualization libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, Plotly, etc.
• You can transfer business problems from a problem space to a technical solution space.
• Experience in solving regression and classification-type problems with statistical, linear/non-linear models and ensemble models.
• Experience with Time-Series Forecasting, Operations Research, and Statistics is an interesting addition.
• You know how to work with Big Data platforms such as BigQuery/Spark and know how to write a SQL query to pull the data you need.
• You can write maintainable code that follows best practices in software engineering.

What you'll be doing

• Conceptualize the right modeling approach for challenges in the field of Logistics at scale.
• Innovate new modeling solutions by drawing from fields like Machine Learning, Operations Research, and Statistics.
• Pair-program with your squad to engineer solutions that automate the retraining of models and generation of predictions.
• Provide ideas in brainstorming sessions with your Data Science colleagues to solve modeling problems.
• Help define data needs to bring value to the projects and collaborate with data engineering and tech teams.
• Work with (semi-)structured data from BigQuery DWH architecture and process with Spark where necessary.

Perks and Benefits

• Make the most of our hybrid working model and join the team for face-to-face connection 2 days a week.
• Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy.
• Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
• 1.000 € Educational Budget, Language Courses, Parental Support.
• Digital Meal Vouchers, Food Vouchers, Online Canteen, Corporate Discounts.