Data Scientist

Inizio Partners Corp; San Antonio (TX); Hybrid; USD 85,000 - 120,000; Full time

Job summary

Inizio Partners Corp is seeking a talented Data Scientist to join their team in San Antonio, TX. This hybrid role involves leveraging advanced analytics and machine learning to drive data-driven decisions across the energy sector.

The ideal candidate will have a degree in Data Science or related field and 2–5+ years of experience. Responsibilities include analyzing large datasets, designing predictive models, and collaborating across teams to enhance operational efficiency and customer experience.

Qualifications

• 2–5+ years of experience as a Data Scientist, ML Engineer, or similar role.
• Experience in the energy or utilities industry.
• Knowledge of cloud platforms and MLOps practices.

Responsibilities

• Apply a consultative approach to data science with stakeholders.
• Analyze large datasets to identify trends and improvements.
• Design and deploy predictive models and machine learning algorithms.
• Visualize data findings and communicate results clearly.

Skills

Python (pandas, scikit-learn, NumPy)

Machine learning frameworks

Data visualization tools (Tableau, Power BI)

Statistical modeling and forecasting

Education

Bachelors or Masters in Data Science, Computer Science, Statistics, Mathematics

Tools

Data warehouses and SQL databases

Cloud platforms (AWS, Azure, GCP)

Big data technologies (Hadoop, Spark)

Job description

Our clientis 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.

This is a hybridposition based in San Antonio TX.