1

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

Junior Data Analyst

Houston, TX · Remote

$33 - $37/hr

The team is looking for a Junior Data Analyst to work with large amounts of data, including facts, figures, and numerical information. This role will focus on analyzing data, identifying trends and ...

New

Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry ...

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 ...

The Data Scientist will work independently on data science projects, identifying opportunities, analyzing data, and delivering insights to solve business problems. Responsibilities : • Work ...

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 ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

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

Spring, TX · 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 ...

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 ...

Waste Connections is seeking a Data Scientist to join our growing Analytics & AI team. This role will partner with business leaders to solve complex operational and strategic challenges through ...

next page

Showing results 1-20

Junior Data Scientist information

See Spring, TX salary details

$33.4K

$109.2K

$174.9K

How much do junior data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for junior data scientist in Spring, TX is $109,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,000.00 per year, depending on experience, location, and employer.

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 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 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.

How do I become a junior data scientist?

To become a junior data scientist, you typically need a bachelor's degree in a related field such as computer science, statistics, or mathematics. Gaining skills in programming languages like Python or R, understanding data analysis, and familiarity with tools like SQL and machine learning frameworks are essential. Internships or entry-level projects can also help build practical experience.

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 are popular job titles related to Junior Data Scientist jobs in Spring, TX?

For Junior Data Scientist jobs in Spring, TX, the most frequently searched job titles 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, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,224 per year, or $52.5 per hour.

Senior Data Scientist - GenAI / RAG

Houston, TX • On-site

Other

Posted 4 days ago


Job description

Senior Data Scientist – GenAI / RAG

Introduction: We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on experience in GenAI (LLMs, RAGs, Agentic workflows). The candidate should not be purely academic or junior; we need someone with practical implementation experience and the ability to interact confidently with customers. Strong communication and product-facing exposure are equally important.

Responsibilities:

  • Develop and implement machine learning algorithms to solve complex business problems.
  • Analyze large datasets to generate insights and inform decision-making processes.
  • Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
  • Communicate findings and recommendations effectively to technical and non-technical stakeholders.
  • Stay current with the latest advancements in data science and machine learning technologies.

Requirements:

Required Skills:

  • Strong proficiency in programming languages such as Python or R.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of statistical analysis techniques and data modeling.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Ability to work with databases and query large datasets using SQL.
  • Strong problem-solving skills and the ability to think critically.
  • Excellent communication and collaboration skills.

Preferred Skills:

  • A master''s or Ph.D. in computer science, statistics, mathematics, or a related field.
  • Experience in the tech industry or with enterprise-level software products.
  • Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Roles & Responsibilities:

About the Role: As a Senior Data Scientist in Enterprise Products at Tavant Technologies, you will utilize advanced analytical techniques to drive insights from large datasets. Your role will involve building predictive models and enhancing data-driven decision-making processes within the organization. You will collaborate with various teams to identify opportunities for leveraging data to optimize products and services.

About the Team: You will be part of a dynamic team of data scientists, analysts, and product managers dedicated to creating innovative solutions for enterprise-level clients. The team thrives on collaboration, leveraging diverse expertise to tackle complex challenges. A culture of continuous learning and knowledge sharing is fostered, allowing team members to stay up-to-date with the latest industry trends and technologies.

You are Responsible for:

  • Developing and deploying machine learning models to solve business problems.
  • Analyzing complex datasets to extract actionable insights that contribute to product development.
  • Collaborating with cross-functional teams to integrate data science solutions into existing products and services.
  • Providing mentorship and guidance to junior data scientists and fostering a collaborative environment.

To succeed in this role – you should have the following:

  • Strong experience in machine learning algorithms and statistical modeling techniques.
  • Proficiency in programming languages such as Python or R, along with data manipulation libraries.
  • Experience with big data technologies like Hadoop, Spark, or similar platforms.
  • Excellent analytical skills with the ability to communicate complex findings to non-technical stakeholders.
  • A degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.