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Statistics Data Science Jobs in Austin, TX (NOW HIRING)

The "Science" Bit: Strong grasp of statistics (probability distributions, hypothesis testing, and ... Data Warehouse: Snowflake / BigQuery * Languages: SQL, Python (primary), R (secondary)

The "Science" Bit: Strong grasp of statistics (probability distributions, hypothesis testing, and ... Data Warehouse: Snowflake / BigQuery * Languages: SQL, Python (primary), R (secondary)

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

Principal Data Scientist

Austin, TX · On-site

$180 - $240/hr

Serve as the organization's foremost technical expert in applied data science, statistical modeling, and machine learning as they relate to healthcare and population health. * Establish and maintain ...

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

Serve as the organization's foremost technical expert in applied data science, statistical modeling, and machine learning as they relate to healthcare and population health. * Establish and maintain ...

Serve as the organization's foremost technical expert in applied data science, statistical modeling, and machine learning as they relate to healthcare and population health. Establish and maintain ...

Serve as the organization's foremost technical expert in applied data science, statistical modeling, and machine learning as they relate to healthcare and population health. Establish and maintain ...

... science, statistical modeling, and machine learning as they relate to healthcare and population health. • Establish and maintain data science standards, methodologies, and best practices for model ...

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion ... MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data ...

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion ... MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data ...

Lead AI and Data Science Engineer II

Austin, TX · On-site

$101K - $133K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

Data Scientist

Austin, TX · On-site

$100 - $130/hr

Master's degree or foreign equivalent in Business Analytics, Data Science, Statistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related field and 3 years of ...

Showing results 21-40

Statistics Data Science information

See Austin, TX salary details

$45.6K

$163.6K

$241.4K

How much do statistics data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for statistics data science in Austin, TX is $163,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 per year, depending on experience, location, and employer.

What jobs can you get with a statistics and data science degree?

A statistics and data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative researcher. These jobs typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often within technology, finance, healthcare, or consulting industries.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.
What are popular job titles related to Statistics Data Science jobs in Austin, TX? For Statistics Data Science jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Statistics Data Science jobs in Austin, TX look for? The top searched job categories for Statistics Data Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Statistics Data Science jobs? Cities near Austin, TX with the most Statistics Data Science job openings:
Infographic showing various Statistics Data Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $163,567 per year, or $78.6 per hour.

Entry Level Data Analyst

Meds

Austin, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Meds.com is a rapidly growing consumer technology firm operating a suite of healthcare businesses, including our flagship brand BlueChew. Our mission is to better patients' lives through innovative healthcare solutions. With a team of 350 professionals across various specialties, we've built scalable pharmacy, telemedicine, and e-commerce platforms using cutting-edge technology. As we continue our accelerated growth trajectory, we're launching new products to expand our patient base and accelerate growth. Join us in tackling exciting challenges at the intersection of healthcare and technology. 

We are looking for a Data Analyst who thinks like a scientist. You won't just be building dashboards; you will be digging into the "why" behind our growth. You will help us optimize our subscription models, predict customer churn, and refine our marketing spend using both traditional SQL analysis and statistical modeling. 

This is for recent grads or soon to be graduates only (Grad Dates : May 2026 - December 2026) who are looking to flex their Data Science muscles. 

Join our team in Austin, TX - we're looking for someone who truly values and enjoys working in the office, not just tolerates it. 

Responsibilities
  • Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer behavior, LTV (Lifetime Value), and retention. 

  • Predictive Modeling: Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast inventory needs and subscription health. 

  • A/B Testing & Experimentation: Design and analyze rigorous experiments for our web platform and marketing funnels to ensure we are making data-driven product decisions. 

  • Data Storytelling: Translate complex statistical findings into actionable "executive summaries" for our marketing and operations teams. 

  • Self-Service Tooling: Build and optimize Looker/Tableau dashboards that empower non-technical team members to answer their own data questions. 

  • Data Integrity: Partner with Data Engineering to ensure our "Source of Truth" remains accurate as we scale our data warehouse (Snowflake/BigQuery). 

What We're Looking For 

  • The Essentials: 3+ years of experience in a data-heavy role. You are a SQL expert and highly proficient in Python (specifically Pandas, Scikit-learn, and NumPy). 

  • The "Science" Bit: Strong grasp of statistics (probability distributions, hypothesis testing, and regression analysis). 

  • The "Analyst" Bit: Experience with BI tools like Tableau, Looker, or Sigma. You know how to make data look as good as it performs. 

  • Product Intuition: You don't just pull data; you understand the business levers of a subscription-based telemedicine company. 

  • Bonus Points: Experience with dbt (data build tool), Airflow, or specialized experience in the healthcare/pharmacy space. 

Tech Stack 

  • Data Warehouse: Snowflake / BigQuery 

  • Languages: SQL, Python (primary), R (secondary) 

  • Visualization: Tableau / Looker 

  • Transformation: dbt 

  • Environment: Dockerized development, Git-based version control 

Qualifications

Education:

  • Bachelor's degree (or in progress) in a quantitative field (Statistics, Data Analytics, Computer Science, Economics, or Mathematics). A Master's degree is preferred. 

Technical Requirements: 

  • SQL Mastery: You must be highly proficient in SQL for querying large datasets, joining complex tables, and data cleaning. 

  • Programming (Python/R): Proficiency in Python (Pandas, NumPy) or R for statistical analysis and automation is standard. 

  • Data Visualization: Experience with Tableau, Looker (LookML), or Power BI to create dashboards that tell a story to non-technical stakeholders. 

  • Excel: Advanced skills (Pivot Tables, Power Query, complex formulas) for quick ad-hoc analysis. 

Data Science Expertise: 

  • Statistical Analysis: Understanding of A/B testing (experimentation), hypothesis testing, and regression models. 

  • Predictive Modeling: Ability to build basic models for Customer Lifetime Value (LTV), Churn Prediction, or Inventory Forecasting. 

  • Machine Learning Basics: Familiarity with supervised learning algorithms (like Random Forests or Logistic Regression). 

Business & Domain Knowledge: 

  • Subscription Metrics: Deep understanding of SaaS/Subscription KPIs like MRR (Monthly Recurring Revenue), Churn Rate, and CAC (Customer Acquisition Cost). 

  • Marketing Analytics: Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ads). 

  • Regulatory Awareness: Familiarity with HIPAA or general healthcare data security is a significant plus given their telemedicine nature. 

Perks
  • 100% company-paid Medical, Dental, Vision premium coverage,plus Short-Term Disability and Life Insurance. 

  • 401K with company match. 

  • Paid time off and company-paid holidays  

  • Enjoy free daily lunch 

We are looking for top talent that wants to make a measurable impact in an exciting, fast-paced environment in our Austin, TX office (fully onsite). 
 
 
 
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