About the job

SummaryBy Outscal

This Data Science Engineer, Risk role focuses on building and deploying machine learning models for fraud, AML, and responsible gaming. You'll leverage Python, SQL, and data modeling techniques to develop impactful solutions, collaborating with stakeholders across the company.

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.

Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

The Crown Is Yours

Our Data Science team is comprised of algorithm experts and data science technologists who leverage the power of data to deliver transformative experiences for our users and drive continued innovation. As a Data Science Engineer, you will be a creative thinker and utilize data, machine learning, and software development skills to craft high-impact solutions that transform our business.

What you’ll do as a Data Science Engineer, Risk

  • Help design algorithms and systems, leveraging machine learning and quantitative techniques to produce products that effectively identify and mitigate risk within Fraud, Anti Money Laundering, and Responsible Gaming domains.

  • Build offline and online data products utilizing tools such as SQL  and Python to feed into machine learning systems.

  • Learn about engineering design, development, deployment, and operations of scalable technical products.

  • Collaborate with business stakeholders across the company to plan and execute valuable data science projects.

  • Get integrated with the team and contribute to crucial R&D initiatives right away.

What you’ll bring

  • Experience in Data Science, Machine Learning, and Statistical Modeling with successful product implementations in production.

  • Strong comfort level with object-orientated programming in Python and experience with data modeling, data manipulation, and visualization tools.

  • Strong background with expert-level experience leveraging SQL to gather and process data.

  • Experience with version control (e.g., git)

  • Ability to effectively communicate technical concepts to internal and external teams

  • Curiosity to learn new domains, technologies, and quantitative techniques

  • Experience with the Databricks and Kubernetes platforms

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

The US base salary range for this full-time position is 104,000.00 USD - 130,000.00 USD, plus bonus, equity, and benefits as applicable. Our salary ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
$104.0K - $130.0K/yr (Outscal est.)
$117.0K/yr avg.
Boston, Massachusetts, United States

About The Company

Massachusetts, United States (On-Site)

Massachusetts, United States (On-Site)

England, United Kingdom (On-Site)

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England, United Kingdom (On-Site)

Massachusetts, United States (On-Site)

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