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Statistical Engineering Jobs in Spring, TX (NOW HIRING)

IT Data Engineering JG3

Houston, TX · Hybrid

$109.30K - $131.20K/yr

... Run statistical/econometric analyses on large datasets (e.g., market & fundamental time series data). · Collaborate directly with traders/analysts--translate ambiguous questions into shippable ...

D.) in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics). * Experience with dashboarding tools (e.g., Power BI, Dash, Streamlit) for model ...

Bachelor's degree in data science, Business Analytics, Computer Science, Engineering, Information Systems, Statistics, Economics, or a related field * Experience: 1-3 years of experience in analytics ...

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Statistical Engineering information

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

What job categories do people searching Statistical Engineering jobs in Spring, TX look for? The top searched job categories for Statistical Engineering jobs in Spring, TX are:
What cities near Spring, TX are hiring for Statistical Engineering jobs? Cities near Spring, TX with the most Statistical Engineering job openings:
Natural Gas Trading Analyst

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Marathon Petroleum rating

6.3

Company rating: 6.3 out of 10

Based on 199 frontline employees who took The Breakroom Quiz

50th of 74 rated oil and gas companies


Job description

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

The Natural Gas Quantitative Analyst delivers advanced quantitative analytics and modeling capabilities to support MPC's natural gas trading and supply strategy. This role sits at the intersection of data and natural gas commodity markets, working with predictive models, automated tools, and market signals that drive commercial decision-making across natural gas pricing, storage, basis relationships, and pipeline dynamics. While grounded in natural gas fundamentals, the role is primarily quant-forward The analyst is expected to bring strong programming and modeling expertise, applying rigorous statistical and computational methods to natural gas market problems.

This position is designed as a key analytics role with direct proximity to natural gas trading activity, requiring strong quantitative judgment, analytical ownership, and close collaboration with traders and origination teams.

Primary Objectives

  • Partner closely with natural gas traders and originators to integrate quantitative tools and signals into day-to-day execution and strategic positioning

  • Develop and maintain quantitative models, signals, and tools to support natural gas trading and supply strategy

  • Apply statistical, ML, and data science methods to identify natural gas pricing dislocations, basis spread opportunities, and storage arbitrage

  • Automate data workflows and deliver dashboards that enhance real-time natural gas market visibility

  • Build deep fluency in natural gas fundamentals - including supply/demand balances, pipeline constraints, and storage dynamics - to contextualize and ground quantitative outputs

Key Responsibilities
  • Build and maintain predictive models for natural gas price spreads, regional basis relationships (e.g., Waha, HSC), and forward curve structure

  • Apply time series, regression, and ML techniques to detect tradeable patterns in natural gas markets, including weather-demand relationships, storage deviations, and pipeline flow anomalies; backtest and validate rigorously

  • Collaborate and support the Analytics and Insights team to aggregate and clean data from market feeds, storage reports, pipeline flows, and weather signals, and to automate recurring workflows and maintain dashboards that support real-time trading desk visibility

  • Maintain natural gas supply-demand balance models across key producing basins (e.g., Permian, Marcellus/Utica) and monitor storage trajectories, pipeline infrastructure developments, and relevant regulatory changes

  • Translate fundamental context - including freeze-off events, demand shifts, and seasonal storage balances - into inputs that sharpen quantitative model performance

  • Partner with natural gas traders and originators to embed tools and signals into daily commercial workflows

  • Collaborate with data engineering and IT to produce and scale analytical tools

  • Ensure accuracy, consistency, and integrity across models, market databases, and analytical outputs

  • Distill complex quantitative analysis into clear, actionable insights and communicate effectively with commercial and cross-functional partners

Education and Experience
  • Bachelor's Degree in Business, Finance, Marketing, Economics, Engineering, Marine or related discipline required. Master's or PhD preferred.

  • Minimum five (5) years experience in Commercial, Risk, Trading Analytics, Marine, Scheduling, or Marketing required. Quantitative analytics experience in energy, commodities, or financial markets preferred.

  • Strong proficiency in Python and Excel for data analysis, modeling, and automation.

  • Experience with statistical modeling, time series analysis, or ML frameworks applied to commodity or financial data.

Preferred Experience:

  • Direct exposure to natural gas markets, including familiarity with basis pricing, EIA storage dynamics, and pipeline flows

  • Experience deploying production-grade models or tools to a natural gas or commodities trading desk

  • Bachelor's or advanced degree in data science, statistics, engineering, mathematics, or a quantitative discipline

  • Familiarity with data visualization or analytics tools such as Power BI, Tableau, or similar platforms

Skills
  • Quantitative Modeling

  • Statistical Analysis

  • Python & Data Engineering

  • Natural Gas Market Knowledge

  • Supply Demand Analysis

  • Commercial Awareness

  • Business Acumen

  • Action Planning

  • Data Analysis

  • Process Efficiency Improvements

  • Communication

  • Results Driven

  • Teamwork

Location: Houston TX

Relocation: Available

Estimated Travel: ~10%

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

Location:

Houston, Texas

Additional locations:

Job Requisition ID:

00022181

Location Address:

500 Dallas St Ste 2900

Education:

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 athttps://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.


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About Marathon Petroleum

Sourced by ZipRecruiter

Marathon Petroleum Corporation, headquartered in Findlay, Ohio, US, is a leading independent petroleum refining, marketing, and transportation company. Their official website can be found at marathonpetroleum.com. The company, part of the energy sector, was established in 1887, making it one of the oldest petroleum companies in the US. It operates an integrated refining, marketing and transportation system concentrated primarily in the Midwest, Northeast, East Coast, Southeast and Gulf Coast of the United States. This includes refineries, pipelines, and terminals that process and transport crude oil and refined products.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Findlay, OH, US

Year founded

1887