Senior Data Science Engineer, Personalization

🔥 50 minutes ago

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DraftKings Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🎮 Gaming

⚽ Sports

👥 B2C

Gaming • Sports • B2C

DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.

📋 Description

• Lead end-to-end data science initiatives, from problem definition and modeling to production deployment and performance monitoring. • Design and implement statistical models and machine learning algorithms that solve complex business challenges and enhance user engagement. • Partner with Engineering, Product, and Analytics teams to integrate scalable data science solutions into live production systems. • Drive innovation in personalized game recommendations and page layout optimization by experimenting with new algorithms and data-driven approaches. • Translate complex technical findings into clear, actionable insights that empower stakeholders to make informed decisions. • Deploy and maintain production-grade Python software. • Mentor junior data scientists, champion best practices, and elevate the team’s technical rigor and impact.

🎯 Requirements

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. • At least 3 years of professional experience in data science, with deep expertise in machine learning and statistical modeling. • Strong proficiency in Python, along with experience using data manipulation and visualization tools. • Experience deploying models into production environments and collaborating closely with engineering partners. • A proven ability to break down complex problems into scalable solutions and deliver high-quality results in a fast-paced environment. • Strong communication skills, with the ability to explain technical concepts to cross-functional audiences and senior stakeholders. • Hands-on experience developing personalization algorithms and applying them to content delivery or user-facing platforms. • A collaborative, innovative mindset with a passion for using data to build impactful products.

🏖️ Benefits

• N/A