1

Temporary Data Scientist Machine Learning Jobs in Austin, TX

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Data Scientist

Austin, TX · On-site

$147.75 - $210.43/hr

The ideal candidate has a strong background in statistics, machine learning, and data analysis ... Master's degree in Statistics, Mathematics, Computer Science, or related field. * Proficiency in ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team ... As a part of our team, you will leverage your analytical skills and expertise in machine learning ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team ... As a part of our team, you will leverage your analytical skills and expertise in machine learning ...

... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...

... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...

next page

Showing results 1-20

Temporary Data Scientist Machine Learning information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do temporary data scientist machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for temporary data scientist machine learning in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Austin, TX? The most popular types of Data Scientist Machine Learning jobs in Austin, TX are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in Austin, TX? For Temporary Data Scientist Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in Austin, TX look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Temporary Data Scientist Machine Learning jobs? Cities near Austin, TX with the most Temporary Data Scientist Machine Learning job openings:

Data Scientist - Strategic Data Solutions

Apple

Austin, TX • On-site

Full-time

Re-posted 15 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976