Data Scientist - Causal Discovery (51854)

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!Purpose/IntroductionChevron Phillips is seeking a Data Scientist specializing in Causal Discovery. The Data Scientist will develop and deploy advanced analytics deliverables within an agile team and manage their lifecycle. This position is a great opportunity for a professional with a strong background in causal inference and discovery, looking to apply their skills to real-world business problems in manufacturing. This position requires strong communication skills; abstraction, analytical, and logical reasoning skills; data analysis and data contextualization skills; and skills in the application of causality/causal inference principles to real-world problems.This role will work with lines of business across our enterprise (manufacturing, supply chain, commercial, finance, reliability, and others), data engineering, and other analytics teams to help identify opportunities for machine learning and generative AI applications. They may work with data from a variety of sources (commercial, financial, manufacturing, etc.) and a variety of types (structured, semi-structured, unstructured, and time-series).The successful candidate must collaborate with the Data Science team to continually refine our data science process, improve our model management, and identify new opportunities that the Data Science team can work.Responsibilities

Analyze and perform Exploratory Data Analysis (EDA) on raw datasets with the ability to develop visualizations to present key findings from EDA, communicating with stakeholders to ensure understanding of potential opportunities, forming testable hypotheses, and obtaining regular feedback

Identify potential machine learning (ML) or Generative AI opportunities that drive business value and working them through our intake process to formally get placed on our backlog

Apply knowledge of statistics, machine learning, programming, and data modeling to recognize patterns, identify opportunities, test business hypotheses, and make valuable discoveries leading to operational savings or growth

Wrangle data to cleanse and prepare it for ML model development, including the engineering of features to improve model performance

Apply causal discovery and causal inference techniques to understand the relationships between variables and identify potential causal effects and causal relationships in datasets at scale

Manage and execute ML model life cycle management within our MLOps framework for all models developed

Collaborate with cross-functional and cross-organizational teams to integrate causal models into business processes and decision-making

Required Qualifications

Masters’ degree in a quantitative field such as engineering, computer science, mathematics, statistics, or data science. Significant equivalent work experience in causal inference may be considered as a substitute

Strong understanding of and experience with causal discovery and causal inference methods

Experience in data science related programming languages, such as Python, R, C, C, SQL etc

Experience with Big Data platforms, such as Spark, would be advantageous. Databricks experience is a bonus

Proven ability to apply advanced analytics techniques to real-world problems

Strong written and verbal communication skills

Ability to be effective in a team environment

Curiosity and enthusiasm to learn new domains

Experience with managing ML models through an MLOps lifecycle, from experimentation through production deployment to model version updates

Experience with distributed cloud providers such as Microsoft Azure, AWS, or GCP

Preferred Qualifications

PhD in quantitative field such as engineering, computer science, mathematics, statistics, or data science; especially if the area of research is related to causal inference

Experience applying causal inference techniques in an oil, gas, and/or chemical manufacturing context

Experience or familiarity with working in an Agile team

Direct Experience using MLflow as an MLOps platform

Experience with Microsoft Azure

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.To all recruitment agencies: We are not responsible for any fee related to unsolicited resumes from 3rd party staffing and recruiting agencies (whether submitted through this website or sent directly to employees) unless a written agreement is in place between the agency and Chevron Phillips Chemical Company LP (“Company”) and an authorized Company representative makes a written request to the agency to assist with this requisition. Similarly, no fee will be paid for candidates who apply and claim to be represented by an agency. Any unsolicited resumes, CVs, or other candidate information submitted by an agency will become the property of Company, and no fee will be paid in the event such candidate is hired.Travel Requirements: Up to 10%Eligibility for Relocation: NoClosing Date: 09/22/2024