201 Data Science jobs in Austin

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.

Get the tech skills needed to advance your career in data science, with a flexible work/study program, in as little as ten weeks, with live online instructors who are experts in their field.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Dell Technologies Services Undergraduate Data Science Intern

Join us as an Undergraduate Data Science Intern on our Dell Technologies Services team in Round Rock, Texas to do the best work of your career and make a profound social impact.

Dell Technologies Services helps customers accelerate their digital journey and achieve outcomes. Through an ecosystem of augmented intelligence, passionate experts, automated processes, and unmatched reach, we deliver end-to-end, modernized services from home to work, IT datacenters to the cloud. Our services are strategic to growth drivers for Dell Technologies overall and continue to experience growth in the sector. Our global team covers Sales, Portfolio Management, Service Delivery, Supply Chain, Data Science, Engineering, and more.

What you’ll achieve

As an Undergraduate Data Science intern you will be responsible for analyzing data and driving growth through programming.

You will:

• Be a part of a large passionate data science community that’s always sharing new learnings, best practices, and a helping hand.

• Work on projects ranging from basic effective methods to cutting-edge experimental methods

• Work alongside peers throughout our 12 week program

Essential Requirements

• Enrolled in a Bachelor’s (BA or BS) program in Computer Science, Data Science, Natural Sciences, Engineering, or related field

• Excellent written and verbal communication skills

• Proficiency in programming languages such as python or R, and database languages such as SQL

• Experience with visualization libraries and tools such as matplotlib, d3.js, Tableau, or Power BI is a plus

• Must be comfortable working with global teams spread across multiple regions

Desirable Requirements

• Solid programming skills to retrieve, process, and analyze data

• Passion for data visualization and communicating data stories

Compensation

Dell is committed to fair and equitable compensation practices. The pay range for this position is $18.00 hourly - $37.15 hourly depending on location.

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here ( .

Job ID: R

Head of Data Science

About the Company

Innovative AI startup specializing in document redaction solutions

Industry
Information Technology and Services

Type
Privately Held

About the Role

The Company is in search of a Head of Data Science to lead its AI/ML-powered document redaction solutions. The ideal candidate will be a hands-on leader with a strong background in production-grade NLP and PDF processing, particularly in the areas of PII detection and Named Entity Recognition. Experience in a lean environment and the ability to scale a small data science team while actively contributing to the build process are essential. The role involves inheriting one team member and gradually expanding the team, so a collaborative and execution-oriented mindset is a must. Key responsibilities for the Head of Data Science include bringing models to market, continuously optimizing them in real-world settings, and having a strong focus on MLOps. While experience with SageMaker is preferred, it is not required, as the learning curve is considered manageable. The successful candidate will be expected to have a startup mindset, be scrappy, and be comfortable working in production environments. Python fluency is a given, and the ability to work with a small team to deliver high-quality, customer-facing solutions is a critical aspect of the role.

Travel Percent
Less than 10%

Functions

• Data Management/Analytics

Who We Are

Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We're committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today!

Who We Want

We're seeking an experienced and visionary Head of Data Science to join our technology leadership team. This is a pivotal role where you'll not only refine our data science strategy and spearhead innovation but also play a critical role in shaping our overall data strategy, influencing the future of our data infrastructure, and enhancing our data visualization capabilities for scalable growth.

Arrive boasts an outstanding data foundation. The logistics industry is rich with market data, and we've built a proprietary platform for operations, instrumentation, and internal data collection. At Arrive, data-driven decisions, automation, and innovation are paramount. In this leadership role, you'll collaborate extensively with various teams across the technology group and the wider business.

What You'll Do

• Develop and champion strategic data initiatives that directly align with quarterly and annual business objectives. You'll coordinate product and feature launches, foster the growth of your team, and serve as a senior leader within the Technology organization, articulating our holistic vision, strategy, and roadmap.
• Build upon and evolve Arrive's data science function and strategy, positioning us at the forefront of the industry.
• Collaborate closely with stakeholders across the organization to identify and solve complex business challenges, leveraging data to uncover and exploit new opportunities.
• Lead the creation of sophisticated data models that drive strategic initiatives and are seamlessly integrated into our products, delivering daily insights and automation to thousands of users.
• Continuously seek new and impactful ways to utilize Arrive's vast data assets for the benefit of our customers, always ensuring end-user privacy and security.
• Partner with the Engineering team to define and optimize our data infrastructure, and work with the Solutions group to enhance data visualization and utilization.
• Serve as an integral part of the technology leadership team, collaborating closely with Product Management and Engineering to drive integrated solutions.
• Strategize and create cutting-edge models and capabilities in areas such as supply chain forecasting, pricing, NLP for automation, and people forecasting, making our vision of "empowering the ambitious" through software and data a reality.
• Lead Arrive's entire data science function. This includes understanding the needs of various teams, establishing an optimal team structure, and designing end-to-end workflows to best serve those needs.
• Take ownership of developing, estimating, and executing a data science roadmap, consistently measuring and testing for quantitative success and continuous improvements.
• Build, lead, manage, and mentor a high-performing team of skilled data scientists, empowering them to proactively lead iteration cycles with stakeholders and advance according to the team's vision and business goals.
• Actively gauge fluctuations in the needs of relevant teams across Arrive and strategically hire new team members to scale the function effectively.
• Maintain highly effective communication and responsiveness within your team and with stakeholders across the company, adeptly managing a large volume of ongoing projects.
• Collaboratively partner with Arrive's internal teams, customers, carriers, and the broader freight logistics technology ecosystem to ensure seamless operations and foster strong relationships.
• Possess the ability to consider long-term sustainability in all data science decisions, with a keen eye for scalability and maintainability, while balancing future ideals with short and medium-term needs.
• Exhibit strong communication skills, effectively championing the best ideas and advocating for your beliefs with integrity and respect.

Qualifications

• 5+ years in data analytics and quantitative modeling as a hands-on technical contributor.
• 3-5 years of relevant industry experience is a MUST (freight brokerage, logistics, supply chain, B2B pricing.
• 5+ years of leadership/management experience, leading a team deeply embedded in multiple functions of the business.
• Excellent educational background in a quantitative field, such as Operations Research, Economics/Econometrics, Forecast/Planning, Data Science/Machine Learning.
• Proficiency in SQL, Python, R, Spark, and familiarity with code and programming concepts.
• Experience with big data architectures, data modeling, ETL, and building large-scale data processing pipelines.
• Knowledge of deep learning, optimization, casual interference, and Agile methodologies.
• Excellent ability to translate complex technical concepts to non-technical audiences and vice-versa.
• A strategic, hands-on leader who simplifies complex problems and balances long-term vision with short-term needs.
• Proactive, self-starting, collaborative, and driven to personally own and complete critical initiatives.

Supervisory Responsibility

• This position will supervise a team of Data Scientists within the Technology organization

The Perks of Working With Us

• Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.
• Invest in your future with our matching 401(k) program.
• Build relationships and find your home at Arrive through our Employee Resource Groups.
• Enjoy office wide engagement activities, team events, happy hours and more!
• Leave the suit and tie at home; our dress code is casual.
• Work in the booming city of Austin, TX - we are in a convenient location close to the airport and downtown.
• Park your car for free on site!
• Start your morning with a specialty drink from our fully stocked coffee bar, Broker's Brew.
• Sweat it out with the team at our onsite gym.
• Maximize your wellness with free counseling sessions through our Employee Assistance Program
• Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.
• Receive 100% paid parental leave when you become a new parent.
• Get paid to work with your friends through our Referral Program!
• Get relocation assistance! If you are not local to the area, we offer relocation packages.

$200,000 - $00,000 a year

The base salary range for this position is 200K - 300K, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training.

Your Arrive Experience

When we say "award-winning culture," we mean it. We've been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we're not in it for the trophies. We're committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive's walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.

Notice:

To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact for verification.

**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager, Analytics Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to senior leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
14. Experience working in technology, consulting, or finance.
15. Proven track record of leading high-performing analytics teams.
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Dell Technologies Services Undergraduate Data Science Intern**
Join us as an **Undergraduate Data Science Intern** on our Dell Technologies Services team in **Round Rock, Texas** to do the best work of your career and make a profound social impact.
Dell Technologies Services helps customers accelerate their digital journey and achieve outcomes. Through an ecosystem of augmented intelligence, passionate experts, automated processes, and unmatched reach, we deliver end-to-end, modernized services from home to work, IT datacenters to the cloud. Our services are strategic to growth drivers for Dell Technologies overall and continue to experience growth in the sector. Our global team covers Sales, Portfolio Management, Service Delivery, Supply Chain, Data Science, Engineering, and more.
**What you'll achieve**
As an Undergraduate Data Science intern you will be responsible for analyzing data and driving growth through programming.
**You will:**
+ Be a part of a large passionate data science community that's always sharing new learnings, best practices, and a helping hand.
+ Work on projects ranging from basic effective methods to cutting-edge experimental methods
+ Work alongside peers throughout our 12 week program
**Essential Requirements**
+ Enrolled in a Bachelor's (BA or BS) program in Computer Science, Data Science, Natural Sciences, Engineering, or related field
+ Excellent written and verbal communication skills
+ Proficiency in programming languages such as python or R, and database languages such as SQL
+ Experience with visualization libraries and tools such as matplotlib, d3.js, Tableau, or Power BI is a plus
+ Must be comfortable working with global teams spread across multiple regions
**Desirable Requirements**
+ Solid programming skills to retrieve, process, and analyze data
+ Passion for data visualization and communicating data stories
**Compensation**
Dell is committed to fair and equitable compensation practices. The pay range for this position is $18.00 hourly - $37.15 hourly depending on location.
**Who we are**
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here ( .
**Job ID:** R

Ready to be pushed beyond what you think you're capable of?
At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system.
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.
Our is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights and drive decisions which directly move the company's bottom line.
We're looking for an experienced manager to lead the Developer data science team, a fast growing area of the business that's not only working on some of the most cutting edge web3 applications, but which is also critical to Coinbase's mission of bringing one billion people onchain. They'll work with their team to devise strategies to help grow the product, support a culture of experimentation, and hold a high bar for rigorous and analytical decision making.
*What you'll be doing (ie. job duties):***
* Manage, mentor and grow a team of data scientists and build solid working partnerships with product teams
* Act as a strategic thought partner to product teams and Coinbase executives; lead the team to execute on data-based analyses to help prioritize product opportunities and provide actionable recommendations
* Standardize best practices for analysis, modeling and experimentation; develop scalable processes to help the team solve pain points and meet goals
* Design communication structure and cadence with team members; synthesize data learnings into compelling stories and communicate them throughout Coinbase
* Act as the business metrics owner for performance management
* Drive data team and organizational level initiatives to scale our insights through better systems and automation
*What we look for in you (ie. job requirements):*
* BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree
* 5+ years of experience as a hands-on leader of a high-performing data science/analytics team
* 10+ years of experience providing business insights and driving data science initiatives
* Experience in both internal and external storytelling and executive presentations
* Experience overseeing large, complex and cross-functional initiatives
* Expertise with analytics tools, data visualization, SQL, R, or Python as applied to data science and analytics
* Deep knowledge of data models and experimental design and execution
* Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders
* Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
* Self-driven and able to create plans for analytics projects and build collaboration within the team
*Nice to haves:*
* Masters or PhD in computer science, statistics, applied mathematics, or any scientific or computational degree
* Experience building causal inference models and overseeing synthetic experimentation
* Domain experience in Fintech product and growth areas
* Experience manipulating large amounts of structured and unstructured data
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
Pay Range:
$243,865-$286,900 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations(at)coinbase.com

**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager, Analytics Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to senior leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
14. Experience working in technology, consulting, or finance.
15. Proven track record of leading high-performing analytics teams.
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at