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Manager Statistical Programming Jobs in Austin, TX

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

Use machine learning and statistical modelling techniques such as Decision Trees, Logistic ... Partner with product managers, data scientists, and other engineers to deliver impactful solutions

Hp

AI Data Scientist - Enterprise AI

Austin, TX · On-site

$130K - $205K/yr

... Statistics, Engineering, Mathematics, or a related field. * 3+ years of experience developing AI ... Communicates clearly with product managers, engineers, and operational teams. * Takes ownership of ...

Cirrus Logic

Senior Product Engineer

Austin, TX · On-site

... ability to plan and manage workload. * Possesses a strong understanding of statistics and ... Experience with AI, to improve engineering process efficiency. * Experience with Teradyne IG-XL ...

Cirrus Logic

Product Engineer

Austin, TX · On-site

... statistical analysis and overall manufacturing efficiency. * Coordinate with design, test ... Manage yield enhancement and cost reduction projects. Required Skills and Qualifications

Pwc

CTIO AI Engineering Manager

Austin, TX · On-site

$73K - $244K/yr

... Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

Last Energy

Quality Manager

Austin, TX · On-site

Bachelor's degree in engineering or a related field * 5+ years of experience in quality, ideally in ... Statistical Process Control * Proven ability to lead cross-functional teams and manage projects

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All JobsStatistical Programming JobsManager Statistical Programming JobsManager Statistical Programming Jobs in Austin, TX

Manager Statistical Programming information

See Austin, TX salary details

$82.4K

$143.6K

$242.8K

How much do manager statistical programming jobs pay per year?

As of Aug 12, 2026, the average yearly pay for manager statistical programming in Austin, TX is $143,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,900.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a manager statistical programming?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the typical daily responsibilities of a manager statistical programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.

What are the key skills and qualifications needed to thrive in the manager statistical programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

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Manager Statistical Programming jobs near you
Infographic showing various Manager Statistical Programming job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $143,628 per year, or $69.1 per hour.

Senior Machine Learning Engineer

Roku

Austin, TX • On-site

$121K - $160K/yr

Full-time

Re-posted 27 days ago

Job description

About the team 

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation, and Inference Platform that powers the entire landscape, which we continuously evolve over time.

About the role 

We're on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using both general purpose software and statistical languages.

What you'll be doing 
  • ML infrastructure: Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality
  • Data analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models
  • Model training with batch and real-time prediction scenarios: Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy
  • Production operations: Low-level systems debugging, performance measurement, and optimisation on large production clusters
  • Collaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions
  • Staying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends
We're excited if you have 
  • Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field
  • 5 years of experience in applied machine learning on real use cases 
  • Proficient coding skills and strong software development experience in Spark, Python, or Java
  • Familiarity with real-time evaluation of models with low latency constraints
  • Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.
  • Ability to work with large scale computing frameworks, data analysis systems, and modelling environments i.e. Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB
  • Ad Tech experience is preferred 
  • Proficient use of AI tools and agentic coding practices 
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