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Data Science Assistant Jobs in Texas (NOW HIRING)

Independently work on data science projects and deliver innovative technical solutions to solve ... Assist engagement with key business stakeholders in discussion on business strategies and ...

... science activities. * Develop and maintain robust data pipelines that support the ingestion ... * Assist in preparing technical data tables, figures, and interpretations for reports and ...

Data Scientist Level 3

Boerne, TX · On-site

$92K - $126K/yr

... assist other with drawing appropriate conclusions from the analysis of such data * Effectively ... Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ...

... assist other with drawing appropriate conclusions from the analysis of such data * Effectively ... Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ...

Data Scientist

San Antonio, TX · On-site +1

$61K - $141K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 1+ years ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Responsibilities * Assist with and execute data science projects, working with product, engineering and/or customer service teams to identify requirements, perform analysis, and present results and ...

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 1+ years ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data science assistants can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary competencies and stay current with industry trends.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What is a data scientist assistant?

A data scientist assistant supports data scientists by collecting, cleaning, and analyzing data, often using tools like Python or R. They help prepare reports, build models, and may need knowledge of statistics and data visualization to contribute effectively to data projects.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret results, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on complex problem-solving, model development, and domain expertise. Continuous learning and proficiency in programming languages like Python and tools such as machine learning frameworks remain essential for the role.

Which is better, DS or CS?

For a Data Science Assistant role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes algorithms, programming, and software development. The choice depends on the specific job requirements and your career goals, but familiarity with programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Texas? The most popular types of Data Science jobs in Texas are:
What cities in Texas are hiring for Data Science Assistant jobs? Cities in Texas with the most Data Science Assistant job openings:
Infographic showing various Data Science Assistant job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Sourcing - Assistant Director, Data Science: Renter's Portfolio

Liberty Information Technology Limited

Plano, TX • Hybrid

Full-time

Posted 2 days ago


Job description

Description

The US Property & Specialty Product Design and Modeling team is looking for a sharp, driven Assistant Director to shape the future of pricing for our Renters portfolio. You'll sit at the intersection of advanced data science, business strategy, and cross-functional leadership- building models that directly drive profitable growth.

 

Reporting to the Specialty Senior Director, you'll collaborate closely with teams across US Data Science, Product Management, Delivery, and IT. You'll have real ownership over high-stakes pricing programs and the visibility to influence decisions at the senior level.

 

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **

 

Why You'll Love this Role

 

  • Real Ownership: Lead programs end-to-end, from model design to market deployments
  • Senior Exposure: Influence strategy and present insights to senior leadership
  • Cutting Edge Modeling: Explore and utilize next generation modeling techniques
  • Data Science Community: Knowledge Sharing and access to large community of Data Scientists 

 

What You'll Do

 

  • Own the pricing roadmap: Develop industry-leading pricing programs in close collaboration with the Product team that unlocks segmented, profitable growth opportunities across the Renters Portfolio.
  • Drive program rollouts: Lead end-to-end deployment of pricing programs - including model adjustments for regulatory requirements, documentation, and DOI objection responses.
  • Collaborate across functions: Partner with Delivery, Specialty Product, Program Management, IT, and other teams to ensure fast, effective launches.
  • Analyze & iterate: Monitor Post Launch results and work hand-in-hand with business teams to refine go-forward market strategy.
  • Innovate continuously: Identify new profitable growth opportunities by researching emerging modeling techniques and testing novel variables and new data sources.
  • Lead with influence: Communicate tradeoffs clearly, guide leadership toward best courses of action, and deliver on commitments.
Qualifications
  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Expert knowledge of predictive toolset; reflects as expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU.
  • Ability to give effective training and presentations to peers, management and less senior business leaders.
  • Ability to use results of analysis to persuade team or department management to a particular course of action.
  • Has a value driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.

Employees may apply for a new role after completing 12 months of employment in their current position.

About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/BenefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME