Senior Data Science Engineer
DraftKings
Senior Data Science Engineer
Job Description
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.The Crown Is YoursAs a Senior Data Science Engineer on our Trading Intelligence Team, you will play a pivotal role in driving our data science initiatives forward. You will develop solutions that power our platform and dive our business forward. You will be responsible for developing advanced models and algorithms, analyzing large datasets, and providing actionable insights to enhance our product offerings and business operations. What You'll Do as a Senior Data Science EngineerLead data science projects from conception to deployment, ensuring high-quality and timely delivery.Develop and implement statistical models and machine learning algorithms to solve complex business problems.Collaborate with cross-functional teams to integrate data science solutions into production systems.Mentor junior data scientists and provide guidance on best practices and methodologies.Communicate technical findings and insights to internal stakeholders to support data-driven decision-making.Assist with the adoption of data-driven strategies into the trading processesAssist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectivesWhat You'll BringProven experience in data science, with a strong foundation in machine learning and statistical modeling.Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools.Demonstrated ability to break down complex problems into manageable tasks and deliver high-quality results.Excellent problem-solving skills and the ability to work collaboratively in a team environment.Experience in developing and implementing automated trading or decision-making systems is highly desirableExperience with Kubernetes and Kafka are desirableExperience with Databricks is desirableExperience with experimentation is desirableA Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.Join Our TeamWe’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.
Locations
- UK, London
Skills Required
- data scienceintermediate
- data manipulationintermediate
- programming languages such as Pythonintermediate
- developingintermediate
- Kubernetesintermediate
- Databricks is desirableintermediate
- experimentation is desirableintermediate
Required Qualifications
- Proven experience in data science, with a strong foundation in machine learning and statistical modeling. (experience)
- Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools. (experience)
- Demonstrated ability to break down complex problems into manageable tasks and deliver high-quality results. (experience)
- Excellent problem-solving skills and the ability to work collaboratively in a team environment. (experience)
- Experience in developing and implementing automated trading or decision-making systems is highly desirable (experience)
- Experience with Kubernetes and Kafka are desirable (experience)
- Experience with Databricks is desirable (experience)
- Experience with experimentation is desirable (experience)
- A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. (degree in a relevant field such as computer science)
- Proven experience in data science, with a strong foundation in machine learning and statistical modeling. (experience)
- Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools. (experience)
- Demonstrated ability to break down complex problems into manageable tasks and deliver high-quality results. (experience)
- Excellent problem-solving skills and the ability to work collaboratively in a team environment. (experience)
- Experience in developing and implementing automated trading or decision-making systems is highly desirable (experience)
Preferred Qualifications
- A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. (degree in a relevant field such as computer science)
Responsibilities
- Lead data science projects from conception to deployment, ensuring high-quality and timely delivery.
- Develop and implement statistical models and machine learning algorithms to solve complex business problems.
- Collaborate with cross-functional teams to integrate data science solutions into production systems.
- Mentor junior data scientists and provide guidance on best practices and methodologies.
- Communicate technical findings and insights to internal stakeholders to support data-driven decision-making.
- Assist with the adoption of data-driven strategies into the trading processes
- Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives
- Lead data science projects from conception to deployment, ensuring high-quality and timely delivery.
- Develop and implement statistical models and machine learning algorithms to solve complex business problems.
- Collaborate with cross-functional teams to integrate data science solutions into production systems.
- Mentor junior data scientists and provide guidance on best practices and methodologies.
- Communicate technical findings and insights to internal stakeholders to support data-driven decision-making.
- Assist with the adoption of data-driven strategies into the trading processes
- Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives
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