Senior Data Science Engineering Manager

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $187.7k - $234.6k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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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, coach, and develop a high-performing team of data scientists and machine learning engineers • Set the team’s strategy, roadmap, and priorities, translating business goals and ambiguous opportunities into high-impact data science and machine learning initiatives • Partner with senior leaders across Product, Engineering, Marketing, Revenue, and Data Science to identify opportunities, navigate tradeoffs, and connect technical decisions to customer and business outcomes • Guide development and deployment of machine learning systems across the full model development lifecycle • Establish standards for design, development, testing, deployment, monitoring, and iteration • Influence architecture of model-driven experiences, including data pipelines, feature generation, experimentation, batch and real-time serving, observability, and model lifecycle management • Advance software engineering and machine learning operations practices, including automation, containerization, testing, monitoring, and reliable production deployment • Own capacity planning and resource allocation • Build a culture of experimentation, technical excellence, and continuous improvement • Set strategy for data science and machine learning to power personalized experiences for millions of customers

🎯 Requirements

• Bachelor’s Degree in Computer Science, Data Science, Machine Learning, or a related field • At least 10 years of experience in data science or machine learning engineering • At least 5 years of formal people leadership or management experience • Proven experience leading data science or machine learning teams through complex initiatives, from setting technical direction through production deployment and ongoing optimization • Advanced proficiency in Python and SQL • Experience working with modern data platforms and cloud environments • Deep knowledge of machine learning systems, statistical modeling, experimentation frameworks, and the software development lifecycle • Experience applying software engineering, DevOps, and machine learning operations practices, including containerization, automation, testing, deployment, and production monitoring • Strong communication and leadership skills, with the ability to influence cross-functional partners and senior leaders, navigate competing priorities, and clearly communicate technical decisions, risks, tradeoffs, and business impact • Experience in gaming or a related industry is a plus • May be required to obtain a gaming license issued by the appropriate state agency as a condition of employment

🏖️ Benefits

• Bonus • Equity • Benefits as applicable

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