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

Pwc

Finance Data and AI Senior Associate

Houston, TX

$77K - $202K/yr

... data-driven solutions. As a Senior Associate, you will leverage your knowledge to mentor junior ... Analytics/Science, Computer Science, Operations Management/Research, Engineering, Business ...

Cynet Systems

AI Data Engineer

Spring, TX · On-site

$96.90K - $116.40K/yr

Data Scientist Collaborate with data modelers to prepare and optimize datasets for AI model ... Power BI Data Analyst Associate. DP-203: Azure Data Engineer Associate. SnowPro ® Core ...

Pwc

Data Engineer - Senior Manager

Houston, TX · On-site

$124K - $280K/yr

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

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How much do data science associate jobs pay per year?

As of May 28, 2026, the average yearly pay for data science associate in Houston, TX is $64,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $56,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

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 are Data Science Associates?

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.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

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 Houston, TX? The most popular types of Data Science jobs in Houston, TX are:
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What cities near Houston, TX are hiring for Data Science Associate jobs? Cities near Houston, TX with the most Data Science Associate job openings:
Data Science Associate jobs near you
Associate Director of Innovation & Solutions Management

Associate Director of Innovation & Solutions Management

Kirkland & Ellis

Houston, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Kirkland & Ellis rating

9.3

Company rating: 9.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

2nd of 17 rated law firms

Job description

Job Summary:
Kirkland & Ellis is a leading law firm known for its commitment to legal excellence and innovation. The Associate Director of Innovation & Solutions Management will oversee project management and documentation for the Litigation and Practice Technology team, focusing on custom data science and AI solutions to enhance legal service delivery.
Responsibilities:
• Act as a dedicated project management and documentation resource to LPT’s data science and AI engineering functions, coordinating the development and release of custom-built solutions.
• Serve as the team’s primary steward of LPT’s broader solutions and technology portfolio.
• Oversee the planning, tracking, and delivery of custom-built solutions across the full development lifecycle, including Relativity customizations, LLM-based tools, data pipelines, and visualization dashboards.
• Maintain clear visibility into priorities, dependencies, risks, and release timelines; coordinate closely with technical teams to document requirements, milestones, testing outcomes, and release readiness; and facilitate effective collaboration across contributing teams, including Innovation Engineering and IT.
• Manage stakeholder communications by drafting updates, preparing release summaries, and coordinating solution rollouts in partnership with the Associate Director of Team & Knowledge Development and other LPT functions.
• Develop and maintain a comprehensive, end-to-end view of LPT’s solutions portfolio including custom AI and analytics tools, eDiscovery platforms, and other firm-offered capabilities, in close coordination with Innovation Product Leads and aligned with IT and product roadmaps.
• Create clear, accessible documentation that explains what each solution does, how and when it should be used, its limitations, and its optimal workflow context for both technical and non-technical audiences.
• Communicate LPT’s capabilities through presentations, briefings, and training sessions, while partnering with other Associate Directors to ensure new and evolving solutions are reflected in training programs, onboarding materials, and quality and workflow standards.
Qualifications:
Required:
• Bachelor’s degree required.
• 7 or more years of experience in litigation support, ediscovery, or legal technology service delivery at a law firm, legal service provider, or corporate legal department.
• Demonstrated experience managing complex, cross-functional projects involving technical teams, with strong organizational skills and attention to detail.
• Proven ability to document complex technical solutions and workflows in clear, accessible language.
• Strong written and verbal communication skills, with experience developing and delivering presentations to both technical and non-technical audiences. Skilled in PowerPoint and other presentation tools.
• Working familiarity with AI, machine learning, and data science concepts and workflows. You do not need to be an engineer or data scientist but should be comfortable engaging with technical teams.
• Experience maintaining inventories, registries, or knowledge bases of tools, platforms, or capabilities.
• Demonstrated ability to work effectively across technical, operational, and legal stakeholder groups.
• Exceptional organizational skills, sound judgment, and the ability to independently drive initiatives forward.
Preferred:
• Working familiarity with generative AI tools and platforms including OpenAI, Microsoft Azure OpenAI, LangChain, LangFlow, Hugging Face, and vector databases is preferred. Familiarity with prompt engineering techniques and agentic workflow concepts is also a plus.
• Familiarity with Relativity and RelativityOne, case management platforms, or other litigation support tools is preferred; experience with custom Relativity development is beneficial.
• Experience collaborating with data science or AI engineering teams is preferred, including an understanding of agile development practices, sprint planning, and tools like Git or JIRA.
• Working knowledge of data visualization tools such as Plotly, Tableau, or Microsoft Power BI is a plus.
• Experience supporting the rollout and adoption of new tools or capabilities within a professional services environment is preferred.
Company:
Kirkland & Ellis is a law firm that offers a wide range of legal assistance in labor, government, and intellectual property litigation. Founded in 1909, the company is headquartered in Chicago, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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