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Inizio Partners
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Data Scientist

Inizio Partners · San Antonio, Texas Metropolitan Area

Actively hiring Posted 5 months ago

Job Description:
Data Scientist

Overview

Our client is seeking a talented and motivated Data Scientist to join their dynamic team. The Data Scientist will leverage advanced analytics, machine learning, and statistical modeling to support data-driven decision making across the organization. This role will play a key part in extracting insights from complex datasets to improve operational efficiency, customer experience, and strategic planning within the energy sector.

Key Responsibilities

  • Apply a consultative approach to data science, partnering with stakeholders to identify business problems, recommend tailored analytical solutions, and guide decision-making throughout project lifecycles.
  • Analyze large and diverse datasets to identify trends, patterns, and opportunities for improvement within operations.
  • Design, develop, and deploy predictive models and machine learning algorithms to solve business challenges.
  • Collaborate with cross-functional teams, including IT, engineering, and business units, to understand data needs and deliver actionable insights.
  • Visualize data findings and communicate results clearly to both technical and non-technical stakeholders.
  • Support the implementation of data governance standards and ensure the integrity and security of data.
  • Stay updated on emerging technologies and best practices in data science and the energy industry.

Qualifications

  • Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 2–5+ years of experience as a Data Scientist, ML Engineer, or similar role.
  • Strong proficiency in Python (pandas, scikit‑learn, NumPy, SciPy, TensorFlow/PyTorch optional).
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow).
  • Experience working with data warehouses, SQL databases, and cloud platforms (AWS, Azure, GCP).
  • Familiarity with visualization tools such as Tableau, Power BI, or matplotlib.
  • Experience with statistical modeling, forecasting, and optimization.
  • Experience in the energy or utilities industry.
  • Knowledge of cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
  • Exposure to MLOps practices and production model deployment.

**Location: This is a hybrid position based in San Antonio TX.

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