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Data Analyst

2 months ago

Houston, Texas, United States Search Services Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at Search Services. As a Data Scientist, you will play a vital role in analyzing data across the organization, focusing on technical and deal diligence to enhance the business development of our portfolio companies.

Key Responsibilities
  • Lead projects and work collaboratively with cross-functional teams, including data engineers, data analysts, and other stakeholders.
  • Develop modern machine learning, statistical, and ensemble methods for finding patterns from business and operational data.
  • Perform in-depth investigations of exploratory data analysis employing statistical skills.
  • Use statistical methods for feature computation, selection, and dimensionality reduction.
  • Create effective visualizations for technical, business, and managerial audiences.
  • Deliver data-driven insights to understand business KPIs.
  • Contribute to the company's digital strategic direction, development, and future growth.
  • Apply generative AI in innovative ways to solve complex problems, generate new ideas, or create data-driven strategies.
  • Critical thinking in building and deploying digital solutions.
  • Effective change leader, skilled at resolving implementation hurdles and motivating adoption across the organization.
  • Stay up to date with the latest advancements in AI and generative models and understand how these can be applied within the organization.
  • Implement standard Machine Learning methodology across the ecosystem.
  • Conduct hands-on research and case studies on leading-edge technologies, advise on technical direction, and provide determination of probability for implementation.
Requirements
  • Strong quantitative skills in Probability, Statistics, Algorithms, Optimization methods, and Machine/Deep Learning models.
  • Proven track record of delivering business value using AI.
  • Solid experience in Classical Machine Learning, Deep Learning, Bayesian Learning, and Survival Analysis methods.
  • Experience with advanced generative models like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformer-based models.
  • Fluency in Machine Learning frameworks such as Scikit-learn, TensorFlow, PyTorch, Keras, PyMC.
  • Experience with GPU computing and parallel processing would be advantageous.
  • Good understanding of Natural Language Modeling and experience in Text Analytics.
  • Good experience in conducting Time Series Analysis.
  • Have worked on projects related to Prognostic Health Management.
  • Extensive experience in programming languages such as Python, R, Julia, SQL.
  • Comfortable in building data visualization applications using PowerBI, Spotfire, Bokeh, Plotly.
  • Worked on querying and storing data in NoSQL databases.
  • Fluency in big data technologies such as Databricks and cloud Machine Learning frameworks like AzureML.
  • Strong familiarity with agile software development.
  • Strong knowledge of MLOps best practices.
  • Strong communication skills and the ability to effectively discuss models with other data scientists as well as business partners at the appropriate level of technical detail.
  • Awareness of the ethical implications of AI, particularly in the context of generative models, and commitment to developing responsible AI solutions.
  • BS, MS/PhD in Computer Science or Applied Science or Engineering Disciplines.
  • Energy domain expertise in Exploration & Production and/or Energy Transition & Decarbonization a plus.