Machine Learning Manager at DraftKings

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Gaming, Sports BettingIndustries

Requirements

Bachelor's degree or advanced degree in Data Science, Computer Science, Engineering, or a related field
At least 5 years of experience leading machine learning or MLOps teams, including 2 or more years in a formal leadership or management role
Strong background in MLOps practices, including CI/CD (Jenkins), containerization, orchestration frameworks (MLFlow), model serving tools (Databricks), model observability frameworks (Monte Carlo, DataDog), and feature stores
Extensive experience with data engineering and analytics platforms like Databricks
Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles
Exceptional communication and collaboration skills, with the ability to influence cross-functional teams and executives
Experience in the gaming industry or a related domain is a strong plus

Responsibilities

Partner with Data Science teams to design and implement all components of a modern MLOps stack including feature store, model serving, and model monitoring
Manage hiring, training, and updates on team performance to management
Define best practices for reliability, repeatability, observability and scalability of data science systems
Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing
Partner with Data Science, Data Engineering, Cloud Platform and Marketing Platform for strategy, scoping, and prioritization
Utilize MLOps principles to drive the adoption of best practices across the team
Lead the development and maintenance of end-to-end machine learning pipelines, ensuring seamless integration and automation

Skills

Machine Learning

MLOps

Feature Store

Model Serving

Model Monitoring

Containerization

Automation

Monitoring

Testing

End-to-End ML Pipelines

Data Platforms

Software Engineering

DraftKings

Online platform for fantasy sports and betting

About DraftKings

DraftKings operates in the online gaming and entertainment industry, focusing on daily fantasy sports, sports betting, and online casino games. Users can engage in daily fantasy sports contests for cash prizes, place bets on various sports events, and play casino games like slots, blackjack, roulette, and poker. The platform also includes a marketplace for digital collectibles, allowing users to buy, sell, and trade NFTs of celebrities. DraftKings ensures compliance with gaming regulations, providing a secure environment for its users. Unlike many competitors, DraftKings offers a diverse range of gaming options and revenue streams, attracting a wide audience of sports fans, gamblers, and digital collectors. The company's goal is to create a comprehensive and safe platform for users to enjoy various gaming activities and digital asset trading.

Boston, MassachusettsHeadquarters

2012Year Founded

$911.4MTotal Funding

IPOCompany Stage

Crypto & Web3, GamingIndustries

1,001-5,000Employees

Benefits

Performance Bonus

Company Equity

Risks

Class action lawsuit for alleged unlawful account termination could damage reputation.

Accusations of collusion with FanDuel may lead to antitrust investigations.

Sportsbook+ in New York may face regulatory scrutiny over its subscription model.

Differentiation

DraftKings offers a unique combination of fantasy sports, sports betting, and online casino games.

The company has ventured into the NFT market, expanding its digital collectibles offerings.

DraftKings ensures a secure gaming environment through compliance with gaming authorities.

Upsides

Partnership with Delta Air Lines could open new revenue streams through in-flight gaming.

Launch of Sportsbook+ in New York offers enhanced odds, attracting more subscribers.

Entry into the NFT market taps into the growing digital collectibles trend.

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