Data Scientist

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You may not realize it, but you’ve likely used a product today made possible by the plastics and chemicals manufactured by Chevron Phillips Chemical. From medical supplies and electronics to food packaging and cosmetics, we create the building blocks for more than 70,000 consumer and industrial products.

Even as a global company with 5,000 employees, we maintain a “small company feel” and uphold a culture of respect, diversity, and inclusion. Ask any Chevron Phillips Chemical employee what they like best about their job, and universally, the answer is “the people I work with!” We value work-life balance, and love to see our employees thrive both professionally and personally. There has never been a better time to work for Chevron Phillips Chemical. If you’re ready to grow with us and become part of our vision of being the premier Chemical Company, apply today!

We are seeking a Data Scientist to join our dynamic team in developing and deploying advanced analytics projects within an agile environment. This role offers an excellent opportunity for a professional with a strong background in data science to apply their skills to real-world business challenges across manufacturing and petrochemical industries. You will collaborate with different business units, data engineering, and analytics teams to identify and execute machine learning opportunities. You will work with diverse datasets from multiple sources — including commercial, financial, and manufacturing — and of various types including structured, semi-structured, unstructured, and time-series data.

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

This role is eligible for hybrid and 9 / 80 work schedules.

Responsibilities

• Analyze and perform Exploratory Data Analysis (EDA) on raw datasets
• Develop visualizations to present key findings from EDA
• Identify potential machine learning opportunities that drive business value
• Cleanse and prepare data for machine learning model development
• Engineer features to enhance model performance
• Perform hypothesis testing to assess the feasibility of machine learning applications
• Plan and execute model lifecycle management using MLOps best practices
• Apply statistical and machine learning techniques to uncover insights and solve complex problems
• Collaborate with cross-functional teams to integrate models into business processes and decision-making
• Utilize time series analysis techniques on relevant datasets
• Keep up to date with developments in data science, including Generative AI

Required Qualifications

Preferred Qualifications

Chevron Phillips Chemical offers competitive salaries, a comprehensive benefits package and at most locations, alternate work schedules. To learn more about Chevron Phillips Chemical and to be considered for a position, please visit us online today at www.cpchem.com.

Paper resumes will not be accepted. All job seekers must go to the web site to be considered for positions. If you are interested in applying for this position and need an accommodation to apply, please contact our Human Resources Service Center at 1-800-446-1422, option 4.

Chevron Phillips Chemical Company is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, ancestry, age, disability, veteran status or marital status.

Travel Requirements : Up to 5%

Eligibility for Relocation : No

Closing Date : 01 / 12 / 2025

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