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.
30/05/2026
Full time
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.
30/05/2026
Full time
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.