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Temporary At&T Data Scientist Jobs (NOW HIRING)

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

We know what the world is watching, reading, and thinking about - in real time, at scale, across ... Familiarity with the measurement * t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and ...

We know what the world is watching, reading, and thinking about -- in real time, at scale, across ... Familiarity with the measurement * t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and ...

Data Scientist

New York, NY · On-site

$130K - $150K/yr

That doesn't exist here. The only work that gets done at Jerry is work that will materially change ... The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult ...

Data Scientist

Miami, FL · On-site

$130 - $150/hr

... at 3am reformatting a deck. That doesn\'t exist here. The only work that gets done here is work ... The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult ...

If you want to apply, click the Apply Now button at the top or bottom of this page. After you click ... t receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work ...

Data Scientist

Doral, FL

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ... The world can't wait. You Have: * Experience leading AI/ML analytics programs * Experience ...

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ... The world can't wait. You Have: * Experience leading AI/ML analytics programs * Experience ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

Battelle delivers when others can't. We conduct research and development, manage national ... Job Summary At Battelle, experience matters, especially when addressing the complexities of ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

Battelle delivers when others can't. We conduct research and development, manage national ... Job Summary At Battelle, experience matters, especially when addressing the complexities of ...

Data Scientist

Dayton, OH · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... The world can't wait. You Have: * 3+ years of experience as a Data Scientist * Experience with ...

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ... The world can't wait. You Have: * Experience leading AI/ML analytics programs * Experience ...

Data Scientist, Product

Manhattan, NY · On-site

$179 - $210/hr

If you're ready to be at the epicenter of this historic cultural and financial shift, we're looking ... Robinhood isn't a place for complacency; it's where ambitious people do the best work of their ...

Data Scientist

Austin, TX · On-site

$100 - $130/hr

Together we create products and experiences people once couldn't have imagined, and now, can't ... Learn more about your EEO rights as an applicant At Apple, we believe accessibility is a ...

Data Scientist

Edgewood, MD · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Join us. The world can't wait. You Have: * 2+ years of experience with data exploration, data ...

Showing results 21-40

Temporary At T Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do temporary at&t data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for temporary at&t data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary At&T Data Scientist vs Temporary Verizon Data Analyst?

AspectTemporary At&T Data ScientistTemporary Verizon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and programming languages like Python or RBachelor's in Data Analysis, Statistics, or related; proficiency in SQL, Excel, and data visualization tools
Work EnvironmentCorporate office or remote, collaborative teams, project-basedOffice or remote, focused on data reporting and analysis tasks
Employer & Industry UsageTelecommunications, technology, large enterpriseTelecommunications, media, large enterprise

Temporary At&T Data Scientists focus on developing predictive models and advanced analytics, while Verizon Data Analysts primarily handle data reporting and insights. Both roles require strong analytical skills but differ in technical depth and project scope.

Can I get a temporary AT&T data scientist job with no experience?

Temporary data scientist roles at AT&T typically require relevant skills in data analysis, programming, and statistical modeling, often including experience with tools like Python or R. While some entry-level positions may be available, most require prior experience or a strong educational background in data science or related fields.
What cities are hiring for Temporary At&T Data Scientist jobs? Cities with the most Temporary At&T Data Scientist job openings:
What are the most commonly searched types of At&T Data Scientist jobs? The most popular types of At&T Data Scientist jobs are:
What states have the most Temporary At&T Data Scientist jobs? States with the most job openings for Temporary At&T Data Scientist jobs include:

Data Scientist

Samba

San Francisco, CA • On-site

$150K - $185K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about - in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it's the most interesting data asset on the planet, because it's the most culturally relevant.
ABOUT THE ROLE
We are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products.
The role requires a deep, first-principles understanding of data science and machine learning - not just the ability to apply libraries, but the ability to reason clearly about model behavior, articulate trade-offs between approaches, and make defensible methodological decisions under ambiguity. This is emphatically a coding role - you will spend the majority of your time writing production-quality Python, building and evaluating models on large-scale viewership and web data, and delivering end-to-end ML solutions.
You will work closely with Data Engineering, Product, and go-to-market teams.
WHAT YOU'LL DO
  • Write and own production-quality Python code end-to-end - well-structured, tested, documented, and built to last; PySpark proficiency is essential for working with Samba's billion-row viewership datasets
  • Design, build, and deploy measurement models and statistical frameworks that power Samba's campaign measurement, reach/frequency estimation, and cross-platform attribution products
  • Apply the right statistical and ML technique to the right problem - drawing from hierarchical models, Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record linkage - and clearly articulate the reasoning behind your choices
  • Build and evaluate multi-touch and multi-channel attribution models; apply Causal ML methods - counterfactual modeling, meta-learners (S-learner, T-learner, X-learner), and heterogeneous treatment effect estimation - to advertising and viewership measurement problems
  • Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable, scalable, and production-ready
  • Lead technical design reviews and contribute meaningfully to architecture decisions across the Data Science team
  • Mentor junior Data Scientists through code review, pairing, and structured technical feedback - raising the team's technical floor
  • Communicate measurement methodologies and findings clearly to technical and non-technical audiences, including senior leadership and external clients

WHO ARE YOU
  • 5-7 years of professional data science experience - hands-on, delivery-focused, and measurable in shipped models and production systems
  • Expert-level Python - clean, modular, testable, production-ready code is your standard, not your aspiration
  • Advanced PySpark and Databricks - comfortable building and optimizing data pipelines and ML workflows on billion-row datasets
  • Deep, first-principles command of statistics and ML - you can explain from the ground up how these models work and you apply this understanding to make better modeling decisions
  • Solid grasp of experimental design - A/B testing, randomization, power analysis, and the conditions under which observational causal inference is appropriate
  • Fluent in the full ML lifecycle: feature engineering, model evaluation, deployment pipelines, drift monitoring, and iterative improvement in production
  • Hands-on experience with uplift modeling, synthetic control, difference-in-differences, or propensity-based approaches applied to advertising or media outcomes
  • Strong ownership mindset - you drive projects independently and are comfortable owning your models from data exploration through production delivery, with minimal hand-holding.
  • Clear communicator - able to translate statistical reasoning and model behavior into language that drives decisions with product, engineering, and leadership

  • Experience with multi-touch attribution (MTA) or multi-channel attribution modeling - understanding of the limitations of rule-based approaches and the methodological trade-offs of data-driven alternatives
  • Hands-on experience with Causal ML methods - counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation - applied to advertising or media measurement outcomes
  • Direct exposure to TV or digital viewership data - ACR signals, STB data, viewership panels, or cross-platform measurement (linear + CTV/OTT)
  • Familiarity with the measurement
  • t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC, GRP/TRP frameworks)
  • Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field - or equivalent depth demonstrated through work

$150,000 - $185,000 a year
Samba expects to offer a base salary between $150,000 - $180,000 USD per year for roles to be performed in San Francisco or California; actual base salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy For residents of the EU , Samba Inc. is the data controller.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.