Senior Data Scientist at Marathon Petroleum

San Antonio, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Oil and Gas, EnergyIndustries

Requirements

Bachelor’s Degree in Information Technology or related field
Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field preferred
5+ years of relevant experience required
Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn)
Deep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications
Strong problem-solving, critical thinking, and analytical capabilities
Understanding of AI/ML concepts, algorithms, and platforms to design architectures that support intelligent systems and enable AI-driven applications (Artificial Intelligence (AI) and Machine Learning (ML))
Understanding of business processes, industry trends, and market dynamics to provide relevant and actionable insights for strategic decision-making (Business Domain Knowledge)
Excellent communication skills to effectively interact with stakeholders, gather requirements, present architectural proposals, and collaborate with cross-functional teams (Communication and Collaboration)
The process of measuring and managing organizational data, identifying methodological best practices, and conducting statistical analyses (Data Analysis)
Knowledge of ethical considerations related to data usage, data-driven technologies, and strategies to mitigate biases in data-driven decision-making (Data Ethics & Responsible Innovation)
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 le (Data Mining and Extraction)

Responsibilities

Leads multiple data science projects ensuring alignment with business goals
Develops predictive models and integrates them with Business Intelligence tools
Develops and maintains data pipelines for efficient data retrieval and processing
Collaborates with applications and data engineering teams for deploying models at scale
Mentors junior data scientists in model development and data handling
Engages with Senior Leadership to inform strategic decisions using business intelligence insights
Researches and adopts cutting-edge technologies and methodologies in data science
Manages stakeholder expectations and delivers actionable solutions
Oversees data processing pipelines ensuring data quality and consistency
Drives ethical considerations in model deployment and data utilization
Collaborates with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets
Performs exploratory data analysis to identify patterns, insights, and communicate findings
Engage in the ideation and prototyping of new solutions to meet emerging business requirements
Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions

Skills

Machine Learning

Predictive Modeling

Data Pipelines

Business Intelligence

Statistical Techniques

Exploratory Data Analysis

Model Deployment

Data Processing

AI Models

Marathon Petroleum

Refines and markets petroleum products

About Marathon Petroleum

Marathon Petroleum Corporation operates in the energy sector, focusing on refining and marketing petroleum products. They process crude oil into usable products like gasoline, diesel, and jet fuel at the largest refining system in the United States, located in Findlay, Ohio. Their extensive network includes branded retail locations across the country, primarily under the Marathon brand, serving individual consumers and businesses that need bulk fuel supplies. Additionally, they have a midstream subsidiary, MPLX LP, which gathers, processes, and transports crude oil and natural gas, facilitating the supply chain from raw materials to refineries. Marathon Petroleum's integrated business model allows them to control multiple stages of the supply chain, optimizing operations and reducing costs, which enhances profitability. The company's goal is to maintain strategic growth and operational excellence while serving a diverse range of clients efficiently.

Findlay, OhioHeadquarters

1887Year Founded

IPOCompany Stage

EnergyIndustries

10,001+Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

401(k) Company Match

Parental Leave

Professional Development Budget

Performance Bonus

Risks

Volatility in crude oil prices can impact MPC's profitability.

Stricter environmental regulations may increase operational costs for MPC.

The rise of electric vehicles could reduce demand for MPC's gasoline products.

Differentiation

MPC operates the largest refining system in the United States.

The company has a strong integrated business model from refining to retail.

MPC's midstream operations through MPLX LP enhance its supply chain control.

Upsides

MPC's focus on operational excellence ensures competitive advantage and profitability.

Recognition for energy efficiency by the EPA highlights MPC's commitment to sustainability.

MPC's extensive retail network strengthens its market presence and customer reach.

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