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

We value our talented employees, and whenever possible strive to help one of our associates grow ... Education & Experience : * Bachelor of Science degree in Data Science, Computer Science ...

We value our talented employees, and whenever possible strive to help one of our associates grow ... Education & Experience : * Bachelor of Science degree in Data Science, Computer Science ...

US Tech - AI Engineering Senior Associate

Houston, TX

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated ...

Senior Associate, AI Engineer

Houston, TX · On-site

$52.75 - $68/hr

They are seeking a Senior Associate, AI Engineer to develop and test AI models, assist with data ... ML, data science, software engineering, or cloud technologies • Bachelor's degree from an ...

Data Engineer - Senior Manager

Houston, TX

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

2027 Summer Associate (Intern)

Houston, TX

$14.25 - $19/hr

We are an integrated group of experts, industry leaders, academics, data scientists, and economists ... The Summer Associate program will be approximately 8 weeks long and begin in Summer 2027. We're ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

AI/ML Computational Science Manager

Houston, TX · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We Are: The beginning of a new Data & AI decade that will reshape work and society has begun ... Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must ...

Showing results 21-40

Data Science Associate information

See Baytown, TX salary details

$52.4K

$62K

$117.5K

How much do data science associate jobs pay per year?

As of Aug 15, 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.

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 can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

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.

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 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:

Infographic showing various Data Science Associate job openings in Baytown, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $61,951 per year, or $29.8 per hour.

Data Management Lead

INEOS

Houston, TX • On-site

Full-time

Posted 10 days ago


INEOS rating

7.4

Company rating: 7.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

59th of 100 rated chemical manufacturers


Job description

Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
Compensation Grade
ONS-USD-35
We are seeking a strategic and forward-thinking Data Management Lead to play a pivotal role in shaping and advancing our data capabilities. This is a hands-on leadership role that combines technical credibility with strong managerial, governance, and delivery capability. The position is accountable for defining the operating model for data management, establishing data governance and quality standards, partnering with IT on secure and scalable platform access, and leading planned data engineering, analytics, and AI resources as the team grows. This role will ensure that trusted, well-governed data products are available to support upstream asset management, operations, production surveillance, planning, financial analysis, and executive reporting. The ideal candidate will bring 10+ years of experience in data architecture, data engineering, or a related role, with a focus on the upstream oil and gas sector.
Primary Job Responsibilities
  • Develop and execute a comprehensive data management practice, including the operating model, governance framework, delivery roadmap, standards, controls, and resourcing plan.
  • Define clear roles, responsibilities, decision rights, and ways of working for data management across the business, IT, and future data team members.
  • Foster a collaborative, business-focused team culture that values transparency, data quality, continuous improvement, and disciplined delivery.
  • Develop practical standards, reusable delivery patterns, and documentation to enable consistent execution across the team.
  • Drive innovation by staying current with industry trends and integrating new technologies and methodologies into the data strategy.
  • Design and implement scalable, secure, and maintainable data architectures using Snowflake, Microsoft Azure, Power BI, and related tools
  • Develop and manage data models, schemas, pipelines, integrations, curated datasets, and semantic layers that support business intelligence, analytics, and future AI use cases.
  • Ensure data integrity, security, and compliance with industry regulations and company policies.
  • Oversee the deployment and optimization of Microsoft Azure cloud services for data storage, processing, and management.
  • Utilize Power BI to create and maintain interactive dashboards and reports that provide actionable insights to stakeholders.
  • Collaborate with IT and other departments to ensure seamless integration and performance of data tools and platforms.
  • Work with IT and cybersecurity resources to ensure data access and integrations are secure, supportable, and consistent with company standards
  • Establish and maintain practical data governance processes covering data ownership, stewardship, business definitions, data quality, access controls, change control, and issue escalation.
  • Implement data quality frameworks, monitoring practices, and remediation workflows to improve accuracy, completeness, timeliness, and reliability of critical dataset.
  • Address and resolve data-related issues and provide ongoing support for data management best practices.
  • Work closely with business leaders, internal users, analysts, and other stakeholders to understand data needs and translate them into technical solutions with a governed delivery roadmap.
  • Communicate complex data concepts and architectural designs, trade-offs, risks, and delivery progress effectively to both technical and non-technical audiences.
  • Recruit, onboard, mentor, and lead data engineering, analytics engineering, and AI resources as the data management team grows.
  • Providing day-to-day prioritization, coaching, workload management, and performance feedback for team members and supporting contractors or vendors.
  • Manage relationships with external vendors and partners as needed to support data initiatives.
  • Lead data and analytics projects from conception through execution, ensuring timely delivery and alignment with business objectives, clear scope, practical timelines, and sustainable support arrangements.
  • Manage budgets, resources, priorities and vendor support effectively to achieve project goals and maintain business confidence in the data management practice.

Education & Experience:
  • Bachelor of Science degree in Data Science, Computer Science, Engineering Information Systems or related
  • Minimum of 10 years' experience in data management, data architecture, data engineering, analytics or a related role, with a focus on the upstream oil and gas sector.
  • Proven experience with Snowflake, Microsoft Azure, and Power BI.
  • Demonstrated experience establishing, leading, or materially improving data management, data engineering, or analytics function.
  • Prior team leadership or direct management experience, including coaching, prioritization, workload management, and performance feedback.
  • Strong data governance experience, including data ownership, stewardship, business definitions, data quality, access controls, and change management.
  • Exceptional problem-solving abilities and a strategic mindset.
  • Strong communication skills, with the ability to articulate technical concepts to diverse audiences.
  • Application Deadline:
  • Application Deadline: August 23, 2026
  • Please note that applications received after the deadline will not be considered. Only resumes of candidates being considered will be acknowledged. Please send resume to usgulf.careers@ineos.com

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