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Meta Data Science Jobs in Texas (NOW HIRING)

Lead Data Scientist, AdTech

Austin, TX ยท Hybrid

$175K - $200K/yr

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... Modeling against ad-platform data points (Google, Meta, native) * LLMs / deep learning applied to ...

Staff Data Scientist, Marketing

Austin, TX ยท Hybrid

$175K - $200K/yr

YOUR ROLE Own the full data science engine for a priority vertical, from business problem to ... Modeling against ad-platform data points (Google, Meta, native) * LLMs / deep learning applied to ...

... AI and data center workloads at scale. As an ASIC Engineer specializing in architecture ... Degree must be completed prior to joining Meta * Bachelor's degree in Computer Science, Computer ...

... Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in performance and ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

... Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Showing results 41-60

Meta Data Science information

What are the typical daily responsibilities of a meta data science?

In a Meta Data Science role, your daily tasks often involve analyzing large datasets to extract insights, developing and validating predictive models, and communicating findings to diverse teams. You will work closely with product managers, engineers, and other data professionals to design experiments and optimize business strategies. The role frequently requires presenting complex analyses in approachable terms and iterating on data solutions in response to feedback. You may also contribute to the development of internal data tools or pipelines, ensuring data quality and accessibility across the organization.

What is a meta data science?

A Meta Data Science job involves using data analysis, machine learning, and statistical techniques to drive insights and decision-making at Meta. Data scientists in this role work with large-scale datasets to optimize products, improve user experiences, and develop predictive models. They collaborate with engineers, product managers, and researchers to solve complex business problems. The role requires expertise in programming, data visualization, and experimental design to extract meaningful information from data.

How to get a data science job at Meta?

To secure a data science job at Meta, candidates should have a strong background in statistics, programming (especially Python or R), and experience with data analysis and machine learning. Building a portfolio of relevant projects, gaining experience through internships, and demonstrating problem-solving skills are also important. Familiarity with tools like SQL, data visualization, and understanding of social media or tech platforms can enhance prospects.

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

To excel in Meta Data Science, a strong background in statistics, machine learning, and data analysis, often supported by an advanced degree in a quantitative field, is essential. Proficiency in programming languages like Python or R, experience with big data platforms (such as Hadoop or Spark), and knowledge of data visualization tools are typically required, as well as relevant certifications like those from Google, AWS, or Microsoft. Exceptional problem-solving, communication, and teamwork skills set top candidates apart in this collaborative and data-driven environment. These competencies enable professionals to generate actionable insights, build scalable models, and effectively communicate findings to both technical and non-technical stakeholders.

How much do meta data scientists make?

Meta data scientists typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning and data engineering can earn higher salaries, often exceeding $180,000 per year.
What are the most commonly searched types of Meta Data Science jobs in Texas? The most popular types of Meta Data Science jobs in Texas are:
What are popular job titles related to Meta Data Science jobs in Texas? For Meta Data Science jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Meta Data Science jobs? Cities in Texas with the most Meta Data Science job openings:
Infographic showing various Meta Data Science job openings in Texas as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Lead Data Scientist, AdTech

Launch Potato

Austin, TX โ€ข Hybrid

$175K - $200K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

WHO ARE WE?

Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState. We turn that attention into real outcomes for our partners, some of the world\'s leading companies.

Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment.

We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries.

WHY JOIN US?

You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at Launch Potato. 

BASE SALARY: $175,000 to $200,000 per year, paid semi-monthly

MUST HAVE: 

  • Proven experience in digital marketing, performance marketing, or the leadgen industry
  • Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)
  • Strong modeling fundamentals: the ability to build effective models that drive business impact
  • Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud
  • Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling
  • Expert Python and SQL

EXPERIENCE: 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.

YOUR ROLE

Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.

You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS.

OUTCOMES

  • Own the Insurance vertical\'s primary modeling work end-to-end with measurable ROAS impact
  • Deliver buying models that maintain positive ROAS and quality
  • Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth
  • Establish trusted, direct partnership with vertical business stakeholders
  • Produce trusted output: validated, documented, low correction burden
  • Identify and leverage net-new modeling opportunities the business has not flagged

COMPETENCIES

  • Business-first framing: Starts with the problem and the metric, not the model.
  • Full-stack ownership: Stays engaged from problem definition through deployed performance
  • Proactive communication: Closes loops without being chased
  • Collaborative: Leans on ML engineering for the last mile rather than working solo
  • Coachable: Seeks feedback and turns it into visible behavior change
  • Curiosity paired with delivery discipline

NICE TO HAVES

  • Sophisticated ML at companies where paid digital media is core to the business model
  • Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models
  • Insurance domain experience
  • Creating state-of-the-art Ad Ranking algorithms
  • Modeling against ad-platform data points (Google, Meta, native)
  • LLMs / deep learning applied to personalization or content
  • Familiarity with Looker

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potatoโ€™s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

Want to accelerate your career? Apply now!

Since day one, we\'ve been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. 

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.


Launch Potato logo

About Launch Potato

Sourced by ZipRecruiter

Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato's mission is to be the most innovative, tech-enabled media company connecting consumers to the world's leading brands. The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across more than a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team.

Industry

Marketing

Company size

51 - 200 Employees

Headquarters location

Delray Beach, FL, US

Year founded

2013