About the Company
Williams Companies, Inc. is a leading energy infrastructure company focused on connecting North America’s best natural gas and natural gas products to the best markets. Headquartered in Tulsa, Oklahoma, Williams owns and operates more than 33,000 miles of pipelines, processing facilities, and fractionation facilities, delivering clean energy for a better world.
Job Description
Williams Companies is seeking a talented and passionate Data Scientist to join our advanced analytics team. In this role, you will leverage large datasets, sophisticated statistical methods, and machine learning techniques to extract actionable insights, build predictive models, and optimize operations across our extensive energy infrastructure network. This position offers an exciting opportunity to contribute to critical business decisions, improve efficiency, and drive innovation within the energy sector. We are committed to fostering a diverse and inclusive environment and are offering visa sponsorship for qualified candidates.
Key Responsibilities
- Develop, validate, and deploy predictive and prescriptive models using machine learning algorithms to solve complex business problems.
- Analyze large, complex datasets from various sources (operational data, sensor data, market data) to identify trends, patterns, and insights.
- Collaborate with engineering, operations, and commercial teams to understand business requirements and translate them into analytical solutions.
- Design and implement experiments to test hypotheses and measure the impact of data-driven solutions.
- Communicate complex analytical findings and recommendations clearly and effectively to technical and non-technical stakeholders.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence, and evaluate new tools and technologies.
- Ensure the quality, integrity, and governance of data used for analytical purposes.
Required Skills
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 4+ years of professional experience as a Data Scientist or in a similar role.
- Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning.
- Expertise in SQL for data extraction and manipulation.
- Proven experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical modeling, hypothesis testing, and experimental design.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to communicate complex technical concepts to non-technical audiences.
Preferred Qualifications
- Experience with big data technologies (e.g., Spark, Hadoop).
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) for data science workflows.
- Experience in the energy, oil & gas, or infrastructure industries.
- Knowledge of time-series analysis and forecasting techniques.
- Experience with MLOps principles and tools for model deployment and monitoring.
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Generous paid time off and holidays.
- Tuition reimbursement and professional development opportunities.
- On-site fitness center and wellness programs.
- Visa sponsorship available for eligible candidates.
- Relocation assistance (if applicable).
- Opportunities for career growth and impact in a critical industry.
How to Apply
Interested candidates are invited to submit their application by clicking the "Apply Now" button below. To ensure your application is considered, please include the following:
- A current resume
- A cover letter outlining your suitability for the role and your motivation for applying.
We review applications on a rolling basis and will contact shortlisted candidates for an interview.
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