Corva · 5 hours ago
Senior Data Scientist
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Responsibilities
Develop efficient and effective real-time models that lead the industry
Lead 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 operations
Develop logic and algorithms using analysis of drilling, completions, and geoscience data streams, trends, and anomalies
Develop backend code in Python and test on local and various development environments
Develop, train, test, and optimize machine learning models
Work on an Agile software development team with product management and software developers
Identify and communicate opportunities to improve efficiencies in both Corva and customer operations
Provide technical leadership for junior R&D teammates including algorithm and logic development; code review, quality, and speed; and mentoring
Be a great teammate who is supportive and willing to help others
Always put accuracy first while balancing Minimum Viable Product needs with the speed of development
Document work and complete written reports on time and with high-quality
Support operations with clear procedures for new products and for customer support
Meet or exceed timeframes and deadlines; ensure that all priorities have clear milestones and deadlines before beginning the project
When on PTO ensure a backup plan is in place for tasks and responsibilities
Qualification
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Required
Master’s or PhD in Computer science, Statistics, Computational Mathematics, Data Science, or a related field
High 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 roles
Strong 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 data
Excellent written and verbal communication skills
Proven ability to work effectively with teams
Excellent analytical thinking skills
Ability to conduct root cause analysis and devise logical, efficient solutions
Preferred
Basic knowledge of drilling or completions operations
Publications or contributions to the data science community (e.g., research papers, open-source projects)
Company
Corva
Corva is the emerging leader in real time data and analytics for oil & gas.
Funding
Current Stage
Growth StageRecent News
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