Senior Data Scientist Gaming & Betting Industry $130,000 - $160,000 base Remote Are you an experienced Data Scientist looking to make an impact in the fast-paced world of gaming and betting? A leading player in the industry is seeking a skilled professional to join their team, leveraging data science to enhance customer experiences and drive business performance. This role offers a competitive salary of up to $160,000 and the opportunity to work remotely.
Company Overview Our client is a globally recognized leader in the betting and gaming space, known for its data-driven approach to innovation. They utilize cutting-edge analytics and machine learning to optimize operations, improve customer engagement, and stay ahead in a highly competitive industry.
The Role As a
Senior Data Scientist, you'll play a key role in shaping strategic decisions through predictive modeling, advanced analytics, and machine learning. You'll collaborate with cross-functional teams to develop data-driven solutions, optimize betting strategies, and enhance risk management models. This is a hands-on role with the opportunity to lead projects and work with state-of-the-art tools in a dynamic, collaborative environment.
Key Responsibilities - Develop and deploy predictive models to refine betting strategies and improve customer experiences.
- Analyze large-scale datasets to uncover trends and insights that drive business performance.
- Utilize machine learning techniques to enhance risk management and customer segmentation.
- Collaborate with data engineers to ensure efficient, scalable data pipelines.
- Create dashboards and visualizations that translate complex data into actionable insights for stakeholders.
- Conduct statistical analysis to optimize key business metrics.
- Partner with teams across marketing, product, and operations to drive data-informed decision-making.
- Automate data workflows to improve efficiency and accuracy.
- Mentor junior data scientists and analysts, promoting best practices.
What We're Looking For - 3+ years of experience in data science, ideally in business or betting-related domains.
- Proficiency in Python or R, with hands-on experience in machine learning libraries (e.g., scikit-learn, TensorFlow).
- Strong SQL skills for data manipulation and analysis.
- Experience with data visualization tools like Tableau or Power BI.
- Solid understanding of statistics, predictive modeling, and analytical methods.
- Familiarity with large-scale data processing and cloud platforms (AWS, GCP, or similar).
- Excellent communication skills, with the ability to translate complex insights into business recommendations.
- Bachelor's degree (or equivalent experience) in Data Science, Statistics, Mathematics, or a related field.
How to Apply Interested? Send your resume to
Gabriella Ferrara via the Apply link on this page.