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Data Science Law Jobs in Texas (NOW HIRING)

Data Scientist

Plano, TX · On-site

$110 - $150/hr

Bachelor's degree in data science, statistics, computer science, or a related quantitative field ... by law. This is a general description of essential job functions. It is not intended to describe ...

New

Data Scientist

Plano, TX · On-site

$105 - $150/hr

Bachelor's degree in data science, statistics, computer science, or a related quantitative field ... by law. This is a general description of essential job functions. It is not intended to describe ...

New

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

Represents the data science team for all phases of larger and more-complex development projects ... For more information, review HP'sEEO Policy or read about your rights as an applicant under the law ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with ...

Data Scientist

Plano, TX · On-site

$90 - $140/hr

Bachelor's degree in data science, statistics, computer science, or a related quantitative field ... by law. This is a general description of essential job functions. It is not intended to describe ...

Data Scientist

Austin, TX · On-site

$128K/yr

Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ... law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled ...

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ... law in any employment practice. Such employment practices include, but are not limited to: hiring ...

Data Scientist Level 3

Boerne, TX · On-site

$92K - $126K/yr

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ... law in any employment practice. Such employment practices include, but are not limited to: hiring ...

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ... law in any employment practice. Such employment practices include, but are not limited to: hiring ...

Showing results 21-40

Data Science Law information

What is a data science law?

A Data Science Law job involves applying data science techniques to legal processes, compliance, and regulatory issues. Professionals in this field analyze legal data, develop predictive models for case outcomes, and ensure data-driven decision-making in legal practice. They may work on topics like algorithmic bias, privacy regulations, and AI governance. This role requires expertise in both legal principles and data science methodologies.

What are the typical responsibilities of a data science law professional?

Data Science Law professionals often analyze large datasets to uncover legal risks, support litigation, or advise on regulatory compliance involving data-driven matters. Their daily tasks may include developing models to identify trends impacting legal strategy, coordinating with legal and IT teams on data governance, and interpreting relevant laws around data usage or privacy. Collaboration is key, as these professionals frequently work cross-functionally to create policies or provide guidance on emerging technologies such as AI. The role provides a unique blend of analytical and legal challenges, offering substantial opportunities for career growth in sectors like compliance, privacy, and tech law.

What are the key skills and qualifications needed to thrive in data science law?

To thrive in Data Science Law, you need a solid background in both law (J.D. or equivalent) and quantitative analysis, with experience in data analytics as it pertains to legal contexts. Familiarity with programming languages such as Python or R, legal research databases, and certifications in data privacy or compliance are highly valued. Exceptional analytical thinking, written communication, and the ability to bridge technical and legal concepts are crucial soft skills. These competencies enable professionals to interpret complex data-driven legal issues, ensure compliance, and inform policy or regulatory decision-making.

What are the most commonly searched types of Data Science Law jobs in Texas?

The most popular types of Data Science Law jobs in Texas are:

Infographic showing various Data Science Law job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$110 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Scientist

4 days ago Requisition ID: 1478

About the Role

The Data Scientist is a technical analytics role supporting Finance, Operations, Marketing, and Development with data and business analysis. The majority of the role is hands‑on coding and analysis: writing SQL against a Snowflake data warehouse, building Python-based analytical models, and developing BI dashboards. The role covers the full spectrum from descriptive analytics (what happened) to predictive modeling (what will happen) to prescriptive analysis (what should we do about it).

A Day in the Life
  • Write SQL and Python to build, test, and maintain analytical datasets and pipelines in Snowflake.
  • Build descriptive analytics: dashboards, KPI frameworks, and ad hoc queries that answer "what happened and why."
  • Build predictive models: forecasting, segmentation, and other statistical/ML models that answer "what's likely to happen."
  • Build prescriptive analysis: scenario modeling and recommendations that answer "what should we do."
  • Partner with Finance, Ops, Marketing, and Development stakeholders to scope analytical questions and translate business problems into data solutions.
  • Design and maintain BI dashboards (Power BI, Omni) for self‑serve reporting across teams.
  • Conduct exploratory data analysis to surface trends, anomalies, and root causes in business performance.
  • Present findings and recommendations clearly to both technical and non‑technical audiences.
What Sets You Apart
  • Strong hands‑on coding ability in SQL and Python; comfortable building datasets and models from raw data, not just querying finished tables.
  • Working knowledge of statistical and machine learning methods (regression, classification, clustering, time series forecasting) and when to apply them.
  • Experience building and maintaining BI dashboards (Power BI, Looker, Tableau, or similar) for multiple business audiences.
  • Ability to translate ambiguous business questions from Finance, Ops, Marketing, or Development into a defined analytical approach.
  • Strong data modeling and data warehousing fundamentals (Snowflake, dbt, or similar).
  • Advanced analytical and problem‑solving skills, with the ability to move from data exploration to a clear recommendation.
  • Ability to thrive independently in a fast‑paced, dynamic environment while managing multiple priorities.
  • Strong communication skills, capable of explaining technical work to non‑technical stakeholders.
Education and Experience
  • Bachelor's degree in data science, statistics, computer science, or a related quantitative field.
  • 3+ years of experience in data science, data analytics, or business analytics, including hands‑on SQL/Python work and applied statistical or ML modeling.
  • Experience with cloud data warehouses (Snowflake or similar) and BI tools (Power BI or similar).
  • Experience supporting cross‑functional business stakeholders (finance, operations, or marketing analytics) is a plus.

We offer a comprehensive benefits package designed to support your health, well‑being, financial future, and professional growth.

  • Health & Wellness: Medical, Dental, Vision, HDHP with HSA, employer‑paid Life Insurance, Disability, Mental Health & EAP benefits
  • Financial: 401(k) with Safe‑Harbor Matching and additional voluntary benefits, including pet, legal, identity theft, accident, hospital, and critical illness coverage
  • Time Off: 17 days of PTO (increases with tenure), 11 paid holidays, paid parental/adoption/foster leave, plus dedicated Wellness/Mental Health and Volunteer days
  • Hybrid Work: In‑office Monday–Thursday and remote Fridays
  • Professional Growth: Up to $500 annual professional development stipend
  • Employee Perks: Weekly office breakfast, Fun Committee, DE&I Council, employee discounts, and time off to vote

Benefits are generally effective the first of the month following 30 days of employment and are subject to applicable plan terms.

*This role is not eligible for visa sponsorship*

European Wax Center is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.

This job description is a general description of essential job functions. It is not intended to describe all duties someone in this position may perform. All employees of EWC and operating subsidiaries are expected to perform tasks as assigned by supervisory/management personnel, regardless of job title or routine job duties.

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