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Manager Meta Data Science Jobs in Chicago, IL (NOW HIRING)

VP of Data Science

Chicago, IL · On-site

$180 - $320/hr

Partner with and manage engagements with external consultants who bring domain‑specific expertise Preferred Qualifications * 10+ years in data science within AdTech/MarTech, with 4+ years leading a ...

New

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

Data Science Fellow

Chicago, IL · On-site

$51.90 - $87.90/hr

Develop data science approaches, including machine learning models, improve understanding and predict health care outcomes, conduct data management and other assigned tasks. * Collaborate with ...

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales, and Operation ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Showing results 41-60

Manager Meta Data Science information

See Chicago, IL salary details

$31.9K

$100.1K

$177.2K

How much do manager meta data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager meta data science in Chicago, IL is $100,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $129,300.00 per year, depending on experience, location, and employer.

What does a manager meta data science do?

A Manager of Meta Data Science leads a team of data scientists in developing and implementing advanced analytics, machine learning models, and data-driven strategies for Meta (formerly Facebook). They are responsible for overseeing projects, mentoring team members, collaborating with cross-functional partners, and ensuring that data science solutions align with business goals. This role often requires both technical expertise and strong leadership skills to drive impactful decisions using data. Additionally, they work to improve processes, set research direction, and communicate findings to stakeholders.

What are the key skills and qualifications needed to thrive as a manager meta data science?

To thrive as a Manager Meta Data Science, you need strong expertise in data science, machine learning, statistical analysis, and a relevant advanced degree, often in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms, as well as experience with big data frameworks, are typically required. Leadership, strategic thinking, and effective communication are crucial soft skills that enable success in managing teams and collaborating across departments. These skills are important because they ensure the ability to lead complex projects, drive data-driven decision-making, and align analytics goals with organizational objectives.

How does a manager meta data science typically collaborate with cross-functional teams, and what communication challenges might arise?

A Manager Meta Data Science frequently collaborates with product managers, engineers, data analysts, and business stakeholders to ensure data-driven decision-making aligns with organizational goals. One common challenge is translating complex data science concepts into actionable business insights that are easily understood by non-technical teams. Effective communication and regular alignment meetings are essential to bridge knowledge gaps and ensure everyone is on the same page. Building strong relationships across departments and fostering a culture of transparency can help mitigate misunderstandings and streamline project delivery.

What are the most commonly searched types of Meta Data Science jobs in Chicago, IL?

The most popular types of Meta Data Science jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Manager Meta Data Science jobs?

Cities near Chicago, IL with the most Manager Meta Data Science job openings:

VP of Data Science

Socket.dev

Chicago, IL • On-site

$180 - $320/hr

Other

Posted 2 days ago

New


Job description

About Attain

Built for consumers and companies, alike

In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real‑time data for research, insights and targeted advertising.

At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You’ll have the opportunity to work directly with hands‑on leaders and mission‑driven individuals everyday.

About the role

As Attain's VP of Data Science, you'll own the science behind our products, and be the person clients and partners trust when they want to stress‑test our numbers. Attain's differentiation isn't just that we have data; it's that our methodologies are defensible. You'll set the standard for what "defensible" means and be comfortable being the one in the room when a sophisticated buyer or a partner's data science team wants a peek under the hood to understand how our products work.

This role reports into the SVP of Engineering and sits at the intersection of methodology, product, and client trust. You'll work closely with product, engineering, and ML teams on how we model and validate at scale, and just as closely with commercial teams on how that science shows up in front of clients.

You’ll be a great fit for the role if
  • You have deep expertise in causal inference, incrementality, attribution, and media mix modeling, and the statistical grounding (Bayesian methods, experimental design) to defend it under pressure
  • You've worked hands‑on with large‑scale consumer datasets (transaction, purchase, panel, or identity data) and know the real tradeoffs in imputation, matching, coverage gaps, and bias correction
  • You've built your career in AdTech/MarTech, and have personally owned methodology in front of both internal and external stakeholders
  • You know how to be a strong advisor, not just a decision‑maker; you can lay out every question, concern, and limitation on a product or methodology choice clearly enough to ensure there is no ambiguity in the decision‑making process
  • You have excellent communication and presentation skills, and can move comfortably between a technical ML/engineering audience and a commercial/executive one, and you're credible with both
  • You'd rather disclose the limits of a model proactively than get caught defending it after the fact
  • You're excited to lead a team of data scientists who combine methodological depth with a product and client mindset
What a typical week will look like
  • Define and maintain the standards for how Attain measures impact, proves causality, and validates modeled data
  • Own the modeling behind our products, e.g. census balancing, attribution, audience targeting, incrementality, and the validation regimes that back them
  • Set and document the standard for how core calculations (attribution windows, touch‑model methodology, ROAS conventions) are implemented consistently and defensibly, once Product has decided what those calculations should be
  • Represent Attain's methodology to both engineering and commercial stakeholders, and sometimes externally as well
  • Translate advanced methods into product decisions and business recommendations for commercial teams, and translate commercial pressure back into a realistic scientific roadmap
  • Partner closely with Engineering and ML leadership on modeling infrastructure and standards, without owning that infrastructure directly
  • Develop and lead our team of data scientists
  • Partner with and manage engagements with external consultants who bring domain‑specific expertise
Preferred Qualifications
  • 10+ years in data science within AdTech/MarTech, with 4+ years leading a team
  • Track record owning measurement science or methodology at a senior level in AdTech, MarTech, or a data‑driven consumer platform
  • Advanced degree (MS/PhD/MBA) in economics, statistics, or a related quantitative field, or equivalent demonstrated depth
  • Experience presenting and defending modeling approaches to external clients, partners, or regulators
  • Strong Python and modern ML/statistical tooling; comfortable operating on a cloud data stack
  • Experience building and scaling a data science team
  • Prior experience with panel‑based or modeled/synthetic consumer data specifically is a strong plus

We are excited to hear from you.

At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail on the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.

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