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Full Time Meta Data Scientist Jobs (NOW HIRING)

Samba

Data Scientist

San Francisco, CA

$150K - $185K/yr

ABOUT THE ROLE We are looking for a hands-on Data Scientist to own and deliver complex measurement ... Hands-on experience with Causal ML methods -- counterfactual modeling, meta-learners, and ...

Meta

Research Scientist, Advanced Control

Menlo Park, CA · On-site

$184K - $257K/yr

As Meta's data center fleet grows rapidly in scale and complexity, traditional control strategies are reaching their limits - they cannot effectively adapt to transient conditions, multi-system ...

Samba

Data Scientist

San Francisco, CA

$150K - $185K/yr

ABOUT THE ROLE We are looking for a hands-on Data Scientist to own and deliver complex measurement ... Hands-on experience with Causal ML methods - counterfactual modeling, meta-learners, and ...

Hang

Data Scientist

New York, NY · On-site +1

... Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million Series A led by ... About the Role As our first Data Scientist, you will leverage data to drive insights and strategies ...

YO AI Labs

Data Scientist

Glendale, CA

Glendale, USA * Job Type: Full-time Must Haves: * Python Machine Learning, data science, AWS ... doubly robust methods, meta learners, and uplift modeling. * Expertise in A/B test design ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

... meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text ... data science, including the areas of data collection processing exploitation, transformation ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

... meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text ... data science, including the areas of data collection processing exploitation, transformation ...

Azurity Pharmaceuticals, Inc.

Data Engineer

OR · On-site +1

$107K - $128K/yr

... science and commitment to quality into everything that we do. * Mission: * Implement the data ... Provide technical support related to data structures, data models and meta data management to ...

YO AI Labs

Data Scientist

Glendale, CA

Must Have: Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search ... doubly robust methods, meta learners, and uplift modeling. * Expertise in A/B test design ...

Koah Labs

Data Scientist

San Francisco, CA · On-site

$180K - $250K/yr

We're a small, tight-knit team in San Francisco with backgrounds at X, Apple, Meta, and early-stage ... Data : PostgreSQL, ClickHouse, Redis, Kafka, Python * Core Application : Ruby on Rails, React ...

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Full Time Meta Data Scientist information

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How much do full time meta data scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for full time meta 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 Full Time Meta Data Scientist vs Full Time Data Analyst?

AspectFull Time Meta Data ScientistFull Time Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and programmingBachelor's in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and basic analytics
Work EnvironmentTech companies, research teams, product development at MetaBusiness units, marketing, operations across various industries
Employer & Industry UsagePrimarily in tech, social media, and digital platforms like MetaAcross multiple sectors including finance, healthcare, retail

Full Time Meta Data Scientists focus on advanced analytics, machine learning, and building predictive models within Meta's tech environment. In contrast, Full Time Data Analysts handle data collection, reporting, and basic analysis to support business decisions. Both roles require strong analytical skills, but Data Scientists typically work on more complex modeling and algorithms, while Data Analysts focus on data interpretation and visualization.

What cities are hiring for Full Time Meta Data Scientist jobs? Cities with the most Full Time Meta Data Scientist job openings:
What are the most commonly searched types of Meta Data Scientist jobs? The most popular types of Meta Data Scientist jobs are:
What states have the most Full Time Meta Data Scientist jobs? States with the most job openings for Full Time Meta Data Scientist jobs include:
Full Time Meta Data Scientist jobs near you
Data Scientist

Data Scientist

Samba

San Francisco, CA

$150K - $185K/yr

Full-time

Re-posted 2 hours 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

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.