Principal Data Scientist and Lead Innovator

About the position

As the Principal Data Scientist, you will be responsible for designing and implementing advanced analytical models and algorithms to extract valuable insights from large and complex datasets, enabling data-driven decision making across various business functions. You will collaborate closely with cross-functional teams to identify and prioritize analytical opportunities, working closely with business stakeholders to understand their needs and translate them into actionable data science projects. Additionally, you will lead a team of data scientists, providing technical guidance and mentoring, while staying up-to-date with the latest trends in data science and incorporating them into our processes. The ideal candidate will have a strong background in statistical modeling and data analysis, along with expertise in programming, machine learning, and data visualization tools. If you are passionate about leveraging data to drive meaningful impact and have a proven track record of delivering actionable insights, we welcome you to join our team and help shape the future of our company.

Responsibilities

• Drive digital innovation strategies in alignment with business goals.
• Establish and develop strategic partnerships and collaborations with stakeholders.
• Work hand-in-hand with executive leadership and cross-functional teams.
• Pinpoint strategic opportunities to leverage technology and lay down the path for the future tech landscape of Vital Energy.
• Stay abreast of technological advancements and align them with the business's mission.
• Be the connecting bridge between business stakeholders and IT, ensuring technological solutions meet business needs.
• Lead solution implementations and direct ROI measurements using your vast experience.
• Champion new technological requirements in alignment with business objectives.
• Oversee and optimize existing digital systems and services.
• Build and nurture relationships with tech providers to ensure optimal resource utilization.
• Drive the digital transformation journey of Vital Energy, enhancing operational efficiency, fostering innovation, and pushing revenue growth.

Requirements

• Deep expertise in the AWS cloud platform, especially the services relevant to data science such as SageMaker, Redshift, EMR, Kinesis, and Lambda.
• Comprehensive understanding of AWS data lake architecture, database design, and best practices around large-scale data processing.
• Hands-on experience with big data tools available in the AWS ecosystem like Athena, Glue, and DynamoDB.
• Proficiency in using AWS machine learning tools and services, including but not limited to SageMaker, Rekognition, and Comprehend.
• Experience with AWS serverless architectures and associated technologies such as Lambda and API Gateway.
• Ability to integrate AWS data services with on-premises applications and external software solutions.
• Solid understanding of AWS security best practices, especially concerning data protection and IAM policies.
• Experience with Oil and Gas specific tools and applications in AWS.
• Extensive knowledge and hands-on experience in the Oil and Gas domain.
• Proven track record in driving technological change and its widespread adoption across large organizations.

Benefits

• Salary is commensurate with experience.