Associate Data Scientist

CenterPoint Energy and its predecessor companies have been in business for more than 150 years.

Our Vision: Our vision is to become the most admired utility in the United States through the execution of our long-term growth strategy. We have an unwavering commitment to safely and reliably deliver electricity and natural gas to millions of people.

Our Commitment: CenterPoint Energy is committed to creating an inclusive work environment where business results are achieved through the skills, abilities and talents of our diverse workforce.

At CenterPoint Energy, individuals are respected for their contributions toward our company objectives. We strive for an inclusive work environment across all levels that is reflective of the available workforce in the communities we serve.

Summary:

Responsible for driving data science initiatives across the company. This role applies and operationalizes advanced analytical methodologies on large datasets to extract business value. Areas of focus include forecasting, image recognition, clustering, NLP, LLM, optimization, etc. This role is expected to collaborate with business SMEs and communicate results to a non-technical audience.

Essential Functions:

• Partner with various business units such as electric and gas operations, Customer, Finance, Supply Chain, Asset Management, Safety, etc. to design, develop, and deploy machine learning and artificial intelligence models. This includes classification, deep learning, sentiment analytics, time-series analysis, regression, image recognition, NLP, clustering, etc.
• Develop and deploy LLM models to improve the accuracy and efficiency of data analysis.
• Collaborate with cross-functional teams to identify opportunities for process optimization, cost reduction, and revenue generation using data-driven insights.
• Use advanced statistical and machine learning techniques to analyze large data sets and identify trends and insights that can be used to improve business operations and decision-making.
• Communicate machine learning models in a way which can be understood by a broad audience.
• Develop and implement data visualization tools and dashboards to communicate data insights to internal and external stakeholders.
• Develop machine learning models which can be deployed on streaming data pipelines.
• Leverage cloud and big data solutions to develop machine learning and artificial intelligence models
• Think creatively to brainstorm innovative ways of using data to address business problems
• Monitor model performance, drift, and accuracy.
• Research emerging technologies and machine learning platforms and determine how they could be leveraged to solve business problems.
• Develop and maintain AI and ML ops framework for deploying models to production

Education:

Bachelor's or master's degree in data science, computer science, statistics, mathematics, or a related field.

Required

Skills and Experience:

• Programming skills in Python, R, and SQL.
• Analytical and problem-solving skills.
• Familiar with data visualization tools such as Tableau, Power BI, or similar.
• Experience using statistical analysis, machine learning algorithms, deep learning, large language models, NLP, image recognition and predictive modeling.
• Communication skills to effectively communicate complex data insights to both technical and non-technical stakeholders.
• Familiar with AI and ML ops frameworks such as MLFlow, Kubeflow, or Prefect.
• Familiar with cloud-based machine learning platforms such as AWS Sage Maker, Azure ML, or GCP AI Platform.
• Strong project management skills to manage multiple projects and stakeholders.
• Knowledge of the energy industry is a plus.

We want you to know
Being a part of the CenterPoint Energy team is more than a career alone. It's an opportunity to make a positive impact. You will be an integral part of enabling everyday life and the pursuit of possibilities for the customers we serve and the communities we share. The vital services we provide are at the core of making our world work, and by sharing your energy with us, we'll create a better tomorrow together.

What we bring to you

• Competitive pay
• Paid training
• Benefits eligibility begins on your first day
• Transit subsidies
• Flexible…