About CorvaCorva has built a first-of-its-kind energy app store on a bedrock of best-in-class technologies, data pipelines, and a secure and scalable architecture.  Our energy solutions solve today's toughest well delivery challenges, from well design through drillout.  The ever-evolving platform is not only future-proof for digitizing operations but is your toolkit to accelerate sustainability and energy transition goals.  Our platform is built for speed and reliability and delivers unmatched features and capabilities.Corva is powering worldwide innovation by driving efficiency, productivity, and profitability with our innovative energy solutions.MissionCorva’s mission is to accelerate the future of energy.ValuesBoldnessExtreme OwnershipFull TransparencyBias ActionRadical CandorRapid IterationUncompromising QualityHigh AgencyAbout the roleThe Senior Data Scientist is responsible for performing research and developing algorithms to achieve project requirements. This person will work on Agile software teams to develop robust solutions for our customers. We build physics-based, rule-based, data-driven, and machine-learning models to simulate processes and recognize patterns in drilling, completions, and geoscience operations. Senior Data Scientists work independently on projects and provide technical leadership for junior teammates.What you'll doDevelop efficient and effective real-time models that lead the industryLead the development and implementation of advanced analytics solutions to address business challenges and opportunities.Design and execute experiments to test hypotheses and uncover insights.Analyze large, complex datasets to extract actionable insights and patterns.Develop predictive models and machine learning algorithms to optimize business processes and drive decision-making.Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business outcomes.Stay current with industry trends and emerging technologies in data science and analytics.Conduct research on drilling, completion, and geoscience operationsDevelop logic and algorithms using analysis of drilling, completions, and geoscience data streams, trends, and anomaliesDevelop backend code in Python and test on local and various development environmentsDevelop, train, test, and optimize machine learning modelsWork on an Agile software development team with product management and software developersIdentify and communicate opportunities to improve efficiencies in both Corva and customer operationsProvide technical leadership for junior R&D teammates including algorithm and logic development; code review, quality, and speed; and mentoringBe a great teammate who is supportive and willing to help othersAlways put accuracy first while balancing Minimum Viable Product needs with the speed of developmentDocument work and complete written reports on time and with high-qualitySupport operations with clear procedures for new products and for customer supportMeet or exceed timeframes and deadlines; ensure that all priorities have clear milestones and deadlines before beginning the projectWhen on PTO ensure a backup plan is in place for tasks and responsibilitiesQualificationsMaster’s or PhD in Computer science, Statistics, Computational Mathematics, Data Science, or a related fieldHigh proficiency in programming languages such as Python, R. or Java, and experience with data manipulation libraries (e.g., Pandas, NumPy).Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).5+ years of experience in data science or related rolesBasic knowledge of drilling or completions operations is preferredStrong understanding of statistical techniques and machine learning algorithms.Experience working with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).Knowledge of SQL and database systems.Excellent problem-solving skills and attention to detail.Proven track record of delivering impactful data-driven solutions in a fast-paced environment.Ability to identify anomalies and problem dataExcellent written and verbal communication skillsProven ability to work effectively with teamsExcellent analytical thinking skillsAbility to conduct root cause analysis and devise logical, efficient solutionsPublications or contributions to the data science community (e.g., research papers, open-source projects).BenefitsCompetitive salaryHealth, dental, and vision insuranceRetirement savings planFlexible remote work scheduleProfessional development opportunitiesCollaborative, fun and innovative work environment