- Apply advanced analytics methods to address business problems.
- Develop, tune, and deploy statistics & machine learning models including but not limited to classification, regression, natural language processing, forecasting, change point detection, sentiment analytics, etc.
- Use version control and GIT principles to collaborate and maintain a codebase alongside peers.
- Use basic MLOps principles to deploy and monitor models in production environments.
- Work within Google Cloud Platform (GCP) to design and manage components of a data product or service.
- Perform exploratory data analysis that supports or justifies hypothesis about data-related questions.
- Partner with business units to define data problems, measurable success criteria, and actionable deliverables.
- Leverage data visualization tools to create compelling stories about insights you find and discover.
- Design and build experiments to measure the success from the models in production.
- Communicate insights, updates, and outcomes in a way that is understood by non-technical stakeholders.
- Use data engineering techniques to identify required data sources, wrangling data, engineering new features, and related techniques.
- Collaborate with cross-functional teams to identify opportunities for process optimization, cost reduction, and revenue generation using data-driven insights.
- Requires a bachelor's degree in a quantitative discipline: Statistics, Mathematics, Economics, Information Systems, or related field.
- Minimum two (2) years of experience working as a data scientist or in a related field.
- Experience with SQL, and relational or schema-less (NoSQL) databases.
- Experience with programming languages: Python, R, MATLAB, etc.
- Experience with data visualization tools: Tableau, PowerBI, Looker, etc.
- Experience with cloud technologies: Google Cloud Platform, AWS, Azure, or similar technologies.
- Experience applying statistical or machine learning algorithms, econometrics, and/or predictive modeling.
- Strong analytical and critical thinking skills.
- 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 SageMaker, Azure ML, or GCP AI Platform.
- Strong project management skills to manage multiple projects and stakeholders.
- Project Management Experience.
- Utility experience.
- Experience with data governance.
- Competitive pay
- Paid training
- Benefits eligibility begins on your first day
- Transit subsidies
- Flexible work schedule, paid holidays and paid time off
- Access to discounts at fitness clubs and an on-site wellness center at our headquarters in Houston
- Professional growth and development programs including tuition reimbursement
- 401(k) Savings Plan featuring a company match dollar-for-dollar up to 6% and a company contribution of 3% regardless of your contribution
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Description
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.
Job Summary
CenterPoint Energy is looking for a Data Scientist and Associate Data Scientist to join our Advanced Data Analytics Team, located in Houston, TX.
You will have the ability to: build data products and solutions to complex and advanced data problems faced throughout the CenterPoint Energy organization. You will partner with various business clients, data engineers, and data analysts to ensure your stakeholders have the advanced analytics support they need. Areas of focus include classification, regression, natural language processing, forecasting, change point detection, sentiment analytics, etc. This role is expected to collaborate with business SMEs and communicate results to a non-technical audience.
Essential Functions
Data Scientist:
Associate Data Scientist:
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.
Diversity, Equity and Inclusion
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.
What we bring to you
Posting Start Date: 04/15/2024
Posting End Date: 05/15/2024
This contractor and subcontractor shall abide by the requirements of 41 CFR a), a), and a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability.
