National Geographic

National Geographic is looking for a Senior Data Science Engineer to lead projects in the Trading Intelligence Team. This role involves developing statistical models and collaborating across teams to enhance decision-making through data science. The candidate should have a Bachelor's degree in a relevant field and proven experience in data science, strong machine learning foundations, and proficiency in Python or R. Knowledge of Kubernetes and Kafka is desirable.

Senior Data Science Engineer - Trading Intelligence Team 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. 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. Qualifications Proven 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 (highly desirable). Experience with Kubernetes and Kafka (desirable). Experience with Databricks (desirable). Experience with experimentation (desirable). A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.

DraftKings is looking for a Senior Data Platform Engineer to enhance our data capabilities. In this role, you will own and operate the Databricks infrastructure, ensuring its performance and reliability. You'll build cloud infrastructure with AWS and Terraform while leading engineering projects from design to implementation. The ideal candidate should have 3+ years of relevant experience, strong skills in Python, and knowledge of ML libraries. Join us and shape the technology driving our gaming experiences.

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 Yours As a Senior Data Platform Engineer You'll help build the backbone of DraftKings' machine learning capabilities. You'll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering - working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams to deliver tools and systems that enable data driven decision making at scale. What you'll do as a Senior Data Platform Engineer Own and operate our Databricks infrastructure to ensure performance, reliability, and cost efficiency. Build and manage cloud infrastructure using AWS and infrastructure as code tools like Terraform. Architect and document scalable systems that support reproducible and automated ML workflows. Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs. Lead complex engineering projects from design through implementation and long term support. Continuously assess and improve platform usability, efficiency, and scalability based on industry best practices. Champion technical excellence through peer reviews, mentorship, and deep documentation. What you'll bring At least 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles. Proven hands on experience with Databricks in a production environment. Strong knowledge of infrastructure as code, especially with Terraform or Pulumi. Proficiency with AWS and container technologies such as Docker and Kubernetes. Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit learn). A track record of owning and operating complex systems at scale. Strong communication skills with the ability to produce clear, technical documentation. Experience working cross functionally in fast paced, collaborative environments. Company Overview DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company headquartered in Boston. We are a publicly traded technology company committed to responsibly creating the world's favorite games and betting experiences.