Job Description

Senior Data Scientist - Gambling Industry

Location: Remote US
Salary: $130,000 - $160,000

About the Opportunity:
Harnham is working with an innovative company in the gambling industry seeking a Senior Data Scientist to join their expanding analytics team. This is a fantastic opportunity for someone who thrives in a data-driven environment and wants to make a measurable impact on business performance.

The Role:
As a Senior Data Scientist, you will utilize your expertise in Python, SQL, and data visualization to develop predictive models, build insightful dashboards, and drive strategic decision-making. Your work will be instrumental in analyzing player behavior, enhancing customer engagement, and optimizing revenue growth.

Key Responsibilities:

• Develop and implement predictive and data models to address complex business challenges.
• Build interactive dashboards using leading visualization tools (e.g., Tableau, Power BI, Looker).
• Conduct data analysis and modeling using Python and SQL to uncover trends and opportunities.
• Collaborate with cross-functional teams to translate data insights into business strategies.
• Present findings to both technical and non-technical stakeholders to drive decision-making.

What They're Looking For:

• Proven experience in a Senior Data Scientist or similar role.
• Strong proficiency in Python and SQL for data manipulation and predictive modeling.
• Hands-on experience with data visualization tools to create impactful dashboards.
• Expertise in predictive modeling and data analysis techniques.
• Excellent problem-solving skills and a data-driven mindset.
• A passion for the gambling or gaming industry is a plus.

What's on Offer:

• Competitive salary: $130,000 - $160,000 (DOE)
• Remote work (US-based)
• Fast-paced, innovative environment with a cutting-edge analytics team
• Significant career growth and development opportunities

If you are ready to take your data science career to the next level and make a real impact in the gambling industry, apply now.

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