Data Science Lead

The Role

We are looking for an experienced Data Science Lead to drive our data science initiatives and deliver impactful insights that inform strategic decision-making and fuel product innovation. A key focus for this position will be on continuously enhancing and monitoring the accuracy and robustness of our digital twin model. You will collaborate with cross-functional teams and leverage advanced analytical techniques to tackle complex business and modeling challenges. We value an action-oriented mindset and the ability to work autonomously, as well as recognizing that simplicity can often yield the most effective solutions. Ideally, we are looking to hire for this position in Europe or the US, Eastern time zone.

Key Responsibilities

• Manage the complete data science project lifecycle: from defining problems and collecting data to deploying models and monitoring their performance.
• Employ sophisticated statistical analysis methods, including Monte Carlo simulations and Sensitivity Analysis, to improve the accuracy and robustness of our digital twin model.
• Partner closely with product, engineering, and business teams to translate business requirements into actionable data science solutions, ensuring insights are accessible and impactful.
• Shape the company’s overall data strategy and contribute to data-driven product innovation and thought leadership.
• Develop metrics to assess model performance and effectiveness, and continuously monitor and refine models post-deployment.
• Present findings and recommendations clearly to both technical and non-technical stakeholders, adapting communication styles to suit different audiences.
• Stay updated on industry trends, emerging technologies, and best practices in data science, encouraging experimentation with new tools and techniques among the team.
• Guide and mentor fellow data scientists, promoting a culture of innovation and ongoing learning.

Your Expertise

• 8+ years in data science with a strong background in machine learning, statistical analysis, and data modeling.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; a Master’s or Ph.D. is preferred.
• Proficient in programming languages such as Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with SQL and familiarity with data warehousing solutions (e.g., BigQuery, Snowflake).
• Proficient with collaborative cloud notebooks for data science.
• Familiar with frameworks such as TensorFlow or PyTorch and data visualization tools (e.g., Tableau, Matplotlib).

Nice to Have

• Experience with digital twin models.
• Familiarity with the ad tech industry.
• Expertise in large-scale distributed data processing frameworks such as Spark.