ZipRecruiter

Log In

1

Data Science Assistant Jobs in Texas (NOW HIRING)

IntelliGenesis LLC

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 ...

IntelliGenesis

Data Scientist Level 3

Boerne, TX · On-site

... 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 ...

Toyota

Data Scientist

Plano, TX · On-site +1

You should not apply for this role if you will require Toyota to assist with immigration support or ... This role is ideal for someone who will thrive working at the intersection of computational science ...

Deloitte

Agentic AI, AI & Data Science Engineer

Houston, TX · On-site

$109K - $131K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito ...

Deloitte

Agentic AI, AI & Data Science Engineer

Austin, TX

$113K - $136K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito ...

Deloitte

Agentic AI, AI & Data Science Engineer

Dallas, TX · On-site

$113K - $136K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito ...

Toyota

Data Scientist - Optimization

Plano, TX · On-site

You should not apply for this role if you will require Toyota to assist with immigration support or ... This role applies mathematical optimization, operations research, data science, and cloud-based ...

Publicis Groupe Holdings B.V

Data Scientist

Irving, TX · Hybrid

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 ...

Visa

Data Scientist

Austin, TX · On-site

$123K/yr

... * Assist in shaping overall direction, life-cycle management, and leadership for Information ... in data science, mathematics, statistics, economics, computer science, engineering, or other ...

previous page

Showing results 41-60

All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Texas

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 and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

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 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

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 do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
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 are popular job titles related to Data Science Assistant jobs in Texas? For Data Science Assistant jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Texas look for? The top searched job categories for Data Science Assistant 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:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Data Scientist Level 3

Data Scientist Level 3

IntelliGenesis LLC

Boerne, TX • On-site

$92K - $126K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 20 days ago

Job description

Job Duties
  • Employ some combination (2 or more) of the following skill areas:
    • Foundations: (Mathematical, Computational, Statistical)
    • Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)
    • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • Devise strategies for extracting meaning and value from large datasets
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge
  • Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data
  • Effectively communicate complex technical information to non-technical audiences
  • Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations

Required Skills:
  • US Citizens Only
  • Active TS/SCI Clearance and Polygraph required
  • Information Assurance Certification may be required
  • Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
  • Relevant experience must be two of more of the following:
    • Designing/implementing machine learning
    • Data science
    • Advanced analytical algorithms
    • Programming (skill in at least one high-level language (e.g., Python))
    • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
    • Data management (e.g., data cleaning and transformation)
    • Data mining
    • Data modeling and assessment
    • Artificial intelligence
    • Software engineering

Compensation Range: $92,000 - $126,000
Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

Apply