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Senior Data Scientist

1 month ago

Houston, Texas, United States Corva Full time
About Corva

Corva is a leading provider of innovative energy solutions, leveraging cutting-edge technologies to drive efficiency, productivity, and profitability in the energy industry.

Our platform is built on a foundation of best-in-class technologies, data pipelines, and a secure and scalable architecture, enabling us to deliver unmatched features and capabilities.

At Corva, we are committed to accelerating the future of energy, and we are seeking a talented Senior Data Scientist to join our team.

Job Summary

The Senior Data Scientist will be responsible for performing research and developing algorithms to achieve project requirements, working closely with Agile software teams to develop robust solutions for our customers.

This role requires a strong understanding of statistical techniques and machine learning algorithms, as well as experience with deep learning frameworks and big data technologies.

Key Responsibilities
  1. Develop efficient and effective real-time models that lead the industry
  2. Lead the development and implementation of advanced analytics solutions to address business challenges and opportunities
  3. Design and execute experiments to test hypotheses and uncover insights
  4. Analyze large, complex datasets to extract actionable insights and patterns
  5. Develop predictive models and machine learning algorithms to optimize business processes and drive decision-making
  6. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business outcomes
  7. Stay current with industry trends and emerging technologies in data science and analytics
Requirements
  • 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
  • Basic knowledge of drilling or completions operations is preferred
  • 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
What We Offer
  • Competitive salary
  • Health, dental, and vision insurance
  • Retirement savings plan
  • Flexible remote work schedule
  • Professional development opportunities
  • Collaborative, fun, and innovative work environment