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Junior Data Scientist Jobs in Spring, TX (NOW HIRING)

The candidate should not be purely academic or junior; we need someone with practical ... data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Data Science & Machine Learning: * Strong foundation ...

Data Scientist

Spring, TX ยท On-site

$71.50 - $164.40/hr

Data Scientist This role has been designed as "Onsite" with an expectation that you will primarily work from an HPE office. Job Family Definition Designs, develops and applies programs, methodologies ...

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence, and machine learning to apply advanced analytics in business contexts. Qualifications : Required ...

They are seeking a Data Scientist with extensive experience in data mining and machine learning to tackle business analytics challenges. Qualifications : Required : โ€ข Minimum 8 years of relevant ...

We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative ...

The Jr. Data Analyst ensures that each well on Corva is ready for our customers to make real-time drilling and completions decisions and has a laser focus on accuracy and timeliness. The Jr. Analyst ...

Data Scientist This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company ...

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Top Secret (TS) What You Will Do: Guidehouse is seeking a Data Scientist to join our AI & Data Defense and Security ...

Job Title Data Scientist Education Bachelor's Degree Location Houston, TX 77032 US (Primary) Career Level Professional Category Operations Job Type Permanent BridgeNet Solutions, a member of the PSA ...

The Data Scientist supports the analytical foundation of the BridgeNet 4PL program by transforming large-scale, multi-source supply chain datasets into clean, reliable, and decision-ready information ...

The Data Scientist supports the analytical foundation of the BridgeNet 4PL program by transforming large-scale, multi-source supply chain datasets into clean, reliable, and decision-ready information ...

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Junior Data Scientist information

See Spring, TX salary details

$34.5K

$113K

$180.9K

How much do junior data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for junior data scientist in Spring, TX is $113,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $125,200.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData 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; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

What skills and qualifications are needed to thrive as a junior data scientist?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects does a junior data scientist typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What is a junior data scientist?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.
What are the most commonly searched types of Data Scientist jobs in Spring, TX? The most popular types of Data Scientist jobs in Spring, TX are:
What job categories do people searching Junior Data Scientist jobs in Spring, TX look for? The top searched job categories for Junior Data Scientist jobs in Spring, TX are:
What cities near Spring, TX are hiring for Junior Data Scientist jobs? Cities near Spring, TX with the most Junior Data Scientist job openings:
Infographic showing various Junior Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $113,016 per year, or $54.3 per hour.

Operations Junior Data & Staffing Analyst

KAHANA & FELD LLP

Houston, TX โ€ข On-site

Full-time

Posted yesterday

New


Job description

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

Requirements: