Associate Data Scientist at Flywheel Digital

Flywheel provides a comprehensive suite of digital commerce solutions designed to accelerate growth for the world’s most prominent brands across major digital marketplaces. By offering near real-time performance measurement, we empower our clients to improve their sales, market share, and profitability. With a global presence spanning the Americas, Europe, APAC, and China, we are committed to providing our team members with meaningful work, significant growth opportunities, and a supportive environment. We are currently looking for an Associate Data Scientist to join our team in Germany to help us extract value from digital retail data and drive top-line success for our clients.

Key outcomes

• Take ownership of specific components within our data science projects.
• Ensure the accuracy of models by automating monitoring processes and proactively diagnosing issues related to data or model drift.
• Manage the end-to-end process of data preparation, including cleaning, verifying integrity, and performing data wrangling and visualization.
• Conduct ad-hoc analyses and present findings in a clear, actionable manner to support client success on platforms like Amazon.
• Execute hypothesis testing to validate and implement model updates.

Requirements

• Two to three years of professional experience in data analysis, including working with large datasets and data visualization.
• Strong proficiency in Python and experience querying databases.
• Proven ability to create effective data visualizations using Matplotlib.
• Excellent verbal and written communication skills in English.
• A collaborative mindset and the ability to thrive in a hybrid work environment.

Preferred qualifications

• Practical experience in developing and deploying machine learning algorithms.
• Familiarity with Pyspark for large-scale data processing.
• Background in programmatic media, including experience with Google Ads or Facebook Advertising.

Compensation

We offer a competitive rewards package designed to support your professional and personal well-being. Our benefits include:

• A hybrid work model that encourages team collaboration.
• 25 days of paid time off annually.
• Dedicated budget and resources for professional development and continuous learning.

How to apply

If you are passionate about data and eager to contribute to our mission, we invite you to apply to join our team. Our hiring process begins with an introductory call with our Talent Acquisition team to discuss your background and our values. Following this, you can expect a series of one-on-one interviews with team members, which may include skill assessments, case studies, or live coding exercises. We look forward to reviewing your application.