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

Associate Epidemiologist

Houston, TX · On-site

$53K - $88K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking an Associate Epidemiologist to support public health ...

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 ...

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 ...

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

Data Engineer

Houston, TX · On-site

$60/hr

Databricks Certified Data Engineer Associate OR * Databricks Certified Data Engineer Professional ... Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to ...

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 ...

Showing results 21-40

Data Science Associate information

See Houston, TX salary details

$54.9K

$65K

$123.2K

How much do data science associate jobs pay per year?

As of Aug 20, 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 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 Houston, TX?

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

What are popular job titles related to Data Science Associate jobs in Houston, TX?

For Data Science Associate jobs in Houston, TX, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Data Science Associate job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $64,975 per year, or $31.2 per hour.

Operations Junior Data & Staffing Analyst

Kahana and Feld LLP

Houston, TX • On-site

$35 - $40/hr

Full-time

Posted 10 days ago


Job description

The Operations Junior Data & Staffing Analyst supports the firm's leadership, practice groups, and administrative departments by collecting, organizing, and analyzing data across multiple systems to drive strategic and operational initiatives. This position works closely with Practice Group Management, Legal and People Operations, Finance, and Practice Group leadership to support workload management, utilization tracking, staffing coordination, and operational efficiency across the firm's practice groups.
This is a fast-paced, collaborative role that requires exceptional organizational skills and attention to detail, and the ability to liaise effectively between attorneys, firm leadership, and administrative departments. The Operations Junior Data & Staffing Analyst ensures that each group is well supported, aligned with firm priorities, and equipped to deliver outstanding client service.
Duties and Responsibilities
Data Analysis & Reporting
  • Pull, organize, and analyze data from the firm's finances, timekeeping, and billing systems to identify trends, support decision-making, and improve operational performance.
  • Run regular weekly, monthly, and ad hoc reports to support business goals across operations, client service, and client relations.
  • Provide firm leadership with insights and visual analyses derived from structured and unstructured data sources.

Data Management & Quality
  • Maintain and improve data hygiene across multiple databases, ensuring consistency, accuracy, and completeness.
  • Perform data cleanup and maintenance projects to enhance reporting reliability and system efficiency.
  • Gather, validate, and integrate data from multiple systems and locations into consolidated reports and dashboards.

System Integration & Automation
  • Build and manage SharePoint lists with advanced functionality, connecting data from multiple systems for leadership access and workflow automation.
  • Develop forms that automatically funnel data into spreadsheets or dashboards for real-time tracking and executive review.
  • Use APIs, PowerShell scripts, and automation tools to connect systems, push and pull data, and streamline processes.
  • Assist in the transition and quality assurance of data between the firm's management systems and new software platforms.

Business Intelligence & Visualization
  • Design, maintain, and enhance dashboards and visual reports in Power BI to monitor KPIs and business trends.
  • Translate complex data into clear, actionable insights for non-technical audiences.
  • Support firm initiatives in financial analysis, client relationship management, and business development through data-driven insights.

Operational Management
  • Compile, analyze, and maintain operational and staffing reports, including utilization, capacity, productivity, and matter assignment data.
  • Utilize Power Automate, Microsoft Lists, Microsoft Excel, and SharePoint skills to create automated processes and workflows for staffing, teams, and headcount ratios.
  • Monitor and analyze timekeeper workloads and assist in identifying staffing gaps, capacity concerns, and workflow trends to ensure a balanced workload while meeting client needs promptly and make recommendations to Practice Group leadership.
  • Coordinate with Legal and People Operations, Finance, Recruiting, and the Practice Group Leaders regarding attorney assignments and staffing needs.
  • Prepare recurring and ad hoc reports related to attorney productivity, billable hours, staffing allocation, and operational metrics.
  • Work with practice group leaders and firm leadership to understand business goals, plan for future needs, and allocate resources effectively. This includes tracking partner-associate ratios and providing staffing forecasts.
  • Set up and manage efficient workflows, task tracking, calendars, and systems for organizing legal information.
  • Serve as a key contact between partners, lawyers, and the firm's support departments (billing, people ops, IT, marketing, etc.) to assist the practice group in achieving its objectives.
  • Identify and participate in development and implementation of improvements to processes and workflows, leveraging the firm's technology resources and proven methods.

Qualifications
  • Bachelor's degree in Business Administration, Computer/Data Science, Data Mining and Analytics, Engineering, Statistics, Economics, or a related field.
  • 1+ years of experience in computer/data science, legal operations, staffing coordination, finance, or professional services operations.
  • Prior experience in a law firm or professional services setting is preferred.
  • Experience and working knowledge of SQL is required.
  • Advanced Excel (including pivot tables, formulas, macros, and data modeling).
  • Advanced SharePoint functionality, including list setup, permissions, or automation.
  • Power BI for dashboard creation and data visualization.
  • Experience with APIs and data integration across systems.
  • Experience with Python for data applications.
  • PowerShell scripting for workflow automation and data transfer.
  • Excellent organizational, analytical, and communication skills with the ability to explain complex data concepts to diverse stakeholders.
  • Strong attention to detail, data accuracy, and system integrity.

This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned.
Equal Opportunity Employer
Kahana Feld provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Job Type
Full-Time, Non-Exempt
Supervisory Responsibilities
None
Work Location
Hybrid
Work Schedule
8:30am - 5:30pm Monday-Friday. Occasional weekends and holidays
Hourly Rate
$35.00 - $40.00
Physical Requirements
Primarily sedentary work. Exerting up to 40 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Work is performed in an office environment and requires the ability to operate standard office equipment and keyboards. Must have the ability to walk short distances, and/or drive a vehicle to deliver and pick up materials. Work can be performed with or without accommodations.
Travel
5 - 10% domestic travel by ground and or air, dependent on firm needs
Salary Description
$35.00 - $40.00