Marathon Petroleum

Senior Data Scientist

San Antonio, TX

full time

$104,300-$179,800

On-site

Oil and Gas

About This Job

An exciting career awaits you

At MPC, we’re committed to being a great place to work – one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.

Position Summary

We are seeking a highly skilled and experienced Sr. Data Scientist to join our dynamic Data Science and AI team. In this role, you will be instrumental in transforming data into actionable insights and innovative solutions, driving forward our business strategy. You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms.

This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications.

Key Responsibilities

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Leads multiple data science projects ensuring alignment with business goals.

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Develops predictive models and integrates them with Business Intelligence tools.

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Develops and maintains data pipelines for efficient data retrieval and processing. Collaborates with applications and data engineering teams for deploying models at scale.

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Mentors junior data scientists in model development and data handling.

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Engages with Senior Leadership to inform strategic decisions using business intelligence insights.

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Researches and adopts cutting-edge technologies and methodologies in data science.

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Manages stakeholder expectations and delivers actionable solutions.

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Oversees data processing pipelines ensuring data quality and consistency.

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Drives ethical considerations in model deployment and data utilization.

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Collaborates with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets.

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Performs exploratory data analysis to identify patterns, insights, and communicate findings.

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Engage in the ideation and prototyping of new solutions to meet emerging business requirements.

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Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions.

Education and Experience

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Bachelor’s Degree in Information Technology or related field required.

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Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field preferred

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5+ years of relevant experience required.

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Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn).

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Deep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications.

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Strong problem-solving, critical thinking, and analytical capabilities.

Skills

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Artificial Intelligence (AI) and Machine Learning (ML) - Understanding of AI/ML concepts, algorithms, and platforms to design architectures that support intelligent systems and enable AI-driven applications.

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Business Domain Knowledge - Understanding of business processes, industry trends, and market dynamics to provide relevant and actionable insights for strategic decision-making.

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Communication and Collaboration - Excellent communication skills to effectively interact with stakeholders, gather requirements, present architectural proposals, and collaborate with cross-functional teams.

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Data Analysis - The process of measuring and managing organizational data, identifying methodological best practices, and conducting statistical analyses.

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Data Ethics & Responsible Innovation - Knowledge of ethical considerations related to data usage, data-driven technologies, and strategies to mitigate biases in data-driven decision-making.

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Data Mining and Extraction - Data mining is sorting through data to identify patterns and establish relationships. Data mining parameters include: Association - looking for patterns where one event is connected to another event Sequence or path analysis - looking for patterns where one event leads to another later event Classification - looking for new patterns [May result in a change in the way the data is organized but that's ok] Clustering - finding and visually documenting groups of facts not previously known Forecasting - discovering patterns in data that can lead to reasonable predictions about the future Data mining techniques are used in mathematics, cybernetics, and genetics. Web mining, a type of data mining used in customer relationship management [CRM], takes advantage of the huge amount of information gathered by a Web site to look for patterns in user behavior.

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Data Monetization and Data Science - Familiarity with data monetization strategies and techniques, such as data commercialization, data marketplaces, and data value realization.

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Natural Language Processing - Proficiency in analyzing and extracting insights from unstructured text data, including sentiment analysis, topic modeling, and language understanding.

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Problem-Solving and Analytical Thinking - Strong problem-solving skills to identify architectural challenges, analyze requirements, evaluate options, and propose effective solutions.

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Reporting and Dashboarding - The ability to access information from databases, forms, and other sources, and prepare reports according to requirements.

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Statistical Analysis - Statistical Analysis is used in support of decision-making and includes fundamental principles such as data collection and sampling, random variable types and probability distributions, sampling, and population distributions, making estimations from samples, hypothesis testing, and statistical process control.

As an energy industry leader, our career opportunities fuel personal and professional growth.

Location:

San Antonio, Texas

Job Requisition ID:

00017149

Pay Min/Max:

$104,300.00 - $179,800.00 Salary

Grade:

11 - 12

Location Address:

19100 Ridgewood Pkwy

Additional locations:

Denver CO, Findlay, Ohio

Education:

Bachelors: Information Technology (Required)

Employee Group:

Full time

Employee Subgroup:

Regular

Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant,

click here

If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at

talentacquisition@marathonpetroleum.com

. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at

mympcbenefits.com

. The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.

Equal Opportunity Employer: Veteran / Disability

We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.