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Data Science Associate Jobs in Baytown, TX (NOW HIRING)

bp

Digital science associate

Houston, TX · On-site

About the Role As a Digital Science Associate, you will connect powerful scientific advancements ... Working across artificial intelligence, data science, sophisticated analytics, and computational ...

United Airlines

Associate Data Scientist

Houston, TX · On-site

$56K - $56K/yr

Required skills and Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field. Minimum of 15 months of ...

Munich Re

Data Scientist

Houston, TX · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Munich RE

Data Scientist

Houston, TX · On-site

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Lennar

Sr Data Scientist, People Analytics

Houston, TX · On-site

... Associates throughout their career. Lennar has been recognized as a Fortune 500 company and ... This is a newly created position and the first dedicated data science role on the People Analytics ...

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Data Science Associate information

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$62K

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How much do data science associate jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science associate in Baytown, TX is $61,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $54,200.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Baytown, TX?

The most popular types of Data Science jobs in Baytown, TX are:

What job categories do people searching Data Science Associate jobs in Baytown, TX look for?

The top searched job categories for Data Science Associate jobs in Baytown, TX are:

What cities near Baytown, TX are hiring for Data Science Associate jobs?

Cities near Baytown, TX with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Baytown, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $61,951 per year, or $29.8 per hour.

Digital science associate

bp

Houston, TX • On-site

Full-time

Posted 5 days ago

BP rating

5.5

Company rating: 5.5 out of 10

Based on 192 frontline employees who took The Breakroom Quiz

74th of 87 rated oil and gas companies

Job description

Entity:
Technology
Job Family Group:
IT&S Group
Job Description:
About bp
Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of change and possibility we need talent to pursue opportunities, motivated by best-in-class insight and expertise. We're always targeting for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. Together we continue to grow as the world's leading energy company!
About the Role
As a Digital Science Associate, you will connect powerful scientific advancements with real-world business opportunities. Working across artificial intelligence, data science, sophisticated analytics, and computational modeling, you will explore new directions that can bring value for bp and support its digital transformation.
In this position, you will establish relationships with government organizations, startups, and industry partners. Together with these collaborators, you will help shape research initiatives, explore new insights, and uncover opportunities that could benefit bp's businesses.
You will coordinate proof-of-concept activities from early exploration through implementation, partnering with technical, commercial, and legal teams to support informed decision-making and successful delivery.
Success in this role comes from a combination of technical expertise, curiosity, collaboration, and sound judgment.
What You Will Deliver
Technology Scouting and Evaluation
  • Identify, assess, and prioritize emerging digital, AI/ML, and computational technologies that have the potential to address strategic business challenges.
  • Supervise academic, industrial, and commercial technology landscapes to identify relevant innovation opportunities.
  • Evaluate technology maturity, scalability, business relevance, and deployment readiness.
  • Develop independent technical assessments and recommendations regarding the adoption of new technologies.
External Partnerships and Innovation
  • Establish and lead partnerships with organizations.
  • Define collaboration scopes, structure partnership agreements, and be a phenomenal partner.
  • Serve as a representative for bp across external innovation engagements.
  • Build and maintain a portfolio of external partnerships that supports bp's innovation and research objectives.
Proof-of-Concept Leadership
  • Lead proof-of-concept (PoC) projects from initiation through completion.
  • Define objectives, success criteria, timelines, and key results.
  • Coordinate research agreements, contracts, intellectual property considerations, and interested party alignment.
  • Assess project outcomes and provide data-driven recommendations regarding future development, scaling, or adoption.
Technical Assessment and Strategy
  • Benchmark emerging technologies against existing bp workflows, industry standards, and relevant technical baselines.
  • Assess data quality, availability, scalability, and model performance.
  • Identify mitigation strategies for data and modeling limitations, including transfer learning, synthetic data generation.
  • Evaluate the commercial viability and business impact of emerging technologies.
Technology Deployment
  • Support the transition of validated technologies into bp's business and technology organizations by collaborating with engineering, operations, and digital teams.
  • Define deployment pathways and facilitate effective technology handover.
  • Work with relevant collaborators to ensure successful implementation and value realization.
Government and Research Ecosystem Engagement
  • Engage with organizations such as the National Science Foundation (NSF), Department of Energy (DOE), ARPA-E, and laboratories to identify collaboration and funding opportunities.
  • Supervise research initiatives and emerging opportunities.
  • Support or lead proposal development activities.
Executive and Interested party Communication
  • Prepare executive-level briefings, technology reviews, and recommendations.
  • Communicate sophisticated technical topics optimally to both technical and non-technical audiences.
  • Support long-term technology strategy development and innovation planning.
  • Present proof-of-concept outcomes and technology assessments,
Knowledge Sharing
  • Document project outcomes, lessons learned, and guidelines.
  • Develop reusable frameworks and methodologies for evaluating emerging technologies.
  • Supply to the broader Digital Science innovation agenda by sharing insights from the external technology ecosystem and identifying emerging opportunities.
What You Will Need to Be Successful
Education
  • Master's degree or equivalent experience in Computer Science, Data Science, Applied Mathematics, Physics, Chemical Engineering, Mechanical Engineering, Computational Science, Engineering, or a related technical field.
  • PhD or equivalent experience research experience is highly preferred.
Technical Expertise
  • Solid understanding of Artificial Intelligence and Machine Learning, including:
    • Machine Learning
    • Deep Learning
    • Probabilistic Modeling
    • Scientific Machine Learning (SciML)
    • Physics-Informed Neural Networks (PINNs)
    • Operator Learning
    • Hybrid Modeling
    • Optimization Techniques
    • Uncertainty Quantification
  • Ability to critically evaluate technical research, validate results, and assess technology readiness and scalability.
  • Experience benchmarking models, evaluating performance claims, and assessing technical maturity.
  • Understanding of modern computational science methodologies and digital technologies.
Experience
  • Significant experience leading external research collaborations and technology partnerships.
  • Experience handling proof-of-concept initiatives and technology evaluations from concept through completion.
  • Experience working with universities, national laboratories, government research organizations, startups, or technology vendors.
  • Familiarity with research agreements, intellectual property considerations, and collaborative research frameworks.
  • Experience engaging with government-funded research programs and agencies such as NSF, DOE, ARPA-E, or national laboratories.
  • Validated experience assessing emerging technologies and translating technical findings into business recommendations.
Leadership and Communication
  • Exceptional written, verbal, and presentation skills.
  • Validated experience presenting technology assessments and strategic recommendations to senior leadership.
  • Strong collaborator management and relationship-building capabilities.
  • Ability to operate efficiently in ambiguous environments and make informed decisions under uncertainty.
  • Strong influencing skills to navigate sophisticated organizational and external interested party environments.
Additional Capabilities
  • Understanding of intellectual property management in collaborative research environments, including ownership, licensing, publication rights, and data-related considerations.
  • Strong project management and organizational skills, with the ability to handle multiple concurrent initiatives and partnerships.
  • High commercial awareness, professional integrity, and sensitivity to confidential information.
  • Curiosity and passion for new technologies and their application to scientific and engineering challenges.
  • Strong analytical and problem-solving capabilities with a continuous learning attitude.
Why Join bp
At bp, you will have the opportunity to shape how emerging digital technologies are applied to address some of the world's most sophisticated energy challenges.
You will work alongside leading scientists, engineers, and innovators while helping accelerate technologies that support bp's transformation and long-term strategy. This role offers a unique opportunity to influence the future of digital innovation across research, technology, and business domains while building strategic partnerships across academia, industry, and government.
Equal Opportunity and Accessibility Statement
We are committed to providing reasonable accommodations to individuals with disabilities throughout the application, interview, and employment process. If you require accommodation, please let us know, so we can support your participation and success.
bp is an equal opportunity employer and values diversity at all levels of the organization. We are committed to creating an inclusive environment where everyone can thrive and contribute their best work.
Travel Requirement
Up to 10% travel should be expected with this role
Relocation Assistance:
This role is not eligible for relocation
Remote Type:
This position is not available for remote working
Skills:
Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving
Legal Disclaimer:
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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