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Numerator Jobs (NOW HIRING)

Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale data science services across our rapidly evolving data platform. You'll work end-to-end on ...

Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale data science services across our rapidly evolving data platform. You'll work end-to-end on ...

Head the complete sales cycle from opportunity identification to contract negotiation and close across all product lines by working with clients, prospects, and Numerator's solutions consultants

Head the complete sales cycle from opportunity identification to contract negotiation and close across all product lines by working with clients, prospects, and Numerator's solutions consultants

Head the complete sales cycle from opportunity identification to contract negotiation and close across all product lines by working with clients, prospects, and Numerator's solutions consultants

Head the complete sales cycle from opportunity identification to contract negotiation and close across all product lines by working with clients, prospects, and Numerator's solutions consultants

You'll run the team turning data such as Nielsen/Numerator, retailer, and custom research into insights driven recommendations that shape category strategy, retailer negotiations, and portfolio ...

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Numerator information

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$21

$42

$68

How much do numerator jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for numerator in the United States is $42.28, according to ZipRecruiter salary data. Most workers in this role earn between $33.41 and $48.56 per hour, depending on experience, location, and employer.

What is a numerator?

A Numerator job typically involves data collection, analysis, and reporting, often in the fields of market research, statistics, or enumeration. Numerators may gather consumer insights, track market trends, or conduct surveys to help businesses and organizations make informed decisions. The role may require strong analytical skills, attention to detail, and proficiency in data management tools. Responsibilities vary depending on the industry but generally focus on accurate data gathering and interpretation.

What are the key skills and qualifications needed to thrive in the numerator position, and why are they important?

To thrive as a Numerator, you need strong mathematical proficiency, attention to detail, and a background in statistics or data collection, typically supported by a diploma or training in survey methodology or related fields. Familiarity with data entry tools, survey software, and spreadsheet applications like Microsoft Excel is highly beneficial. Excellent communication, organizational skills, and the ability to work independently set top candidates apart in this role. These skills ensure the accurate and efficient collection, recording, and reporting of survey data that organizations rely on for decision-making.

What are the typical working conditions for a numerator?

Numerators often work in the field, visiting selected households or businesses to collect survey data, though some roles may involve phone or online data collection. The position can require travel within a specific region, adherence to strict data collection protocols, and the need to meet deadlines for completed surveys. Numerators frequently interact directly with respondents, so strong interpersonal skills are essential. While schedules may be flexible, evening and weekend hours are sometimes necessary to reach participants. This field-based structure provides variety in daily activities and the opportunity to work independently while still being part of a larger data collection team.

What cities are hiring for Numerator jobs?

Cities with the most Numerator job openings:

What are the most commonly searched types of Numerator jobs?

The most popular types of Numerator jobs are:

What states have the most Numerator jobs?

States with the most job openings for Numerator jobs include:

Infographic showing various Numerator job openings in the United States as of August 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 74% Physical, 10% Hybrid, and 16% Remote job distribution, with an average salary of $87,946 per year, or $42.3 per hour.

Tech Lead Manager, AI / Machine Learning

Numerator

Remote

Full-time

Re-posted 2 days ago


Job description

Numerator is looking for a hands-on Tech Lead Manager to join our growing Machine Learning team. This is a 50/50 player-coach role: you'll directly manage a small team of ML engineers while continuing to write code, design systems, and ship GenAI features yourself. You'll work with an established and rapidly evolving platform that handles millions of requests and massive data volumes, and you'll be responsible for both the team's technical direction and the growth of the people on it.
Historically, our team has focused on reducing COGS through ML automation. That work continues - and we're now also building agentic experiences for clients and internal stakeholders. You'll help shape both the technical roadmap and how the team operates as we expand into this space.
How You'll Spend Your Time:
  • Manage and grow a small team of AI software engineers - 1:1s, career development, performance, hiring, and day-to-day unblocking
  • Stay deeply technical: contribute to the codebase, design GenAI systems, and own meaningful slices of delivery alongside your team
  • Apply agentic LLM patterns (tool use, multi-step reasoning, orchestration) to automate high-complexity tasks that previously required human judgment
  • Design and build GenAI-powered solutions for complex NLP tasks - NER, classification, information retrieval, summarization, and structured output generation
  • Partner closely with the team's PM and adjacent engineering teams to scope, prioritize, and ship
  • Translate ambiguous business problems into well-scoped technical work - and help your engineers learn to do the same
  • Stay current with the fast-moving GenAI landscape and translate new capabilities into practical team impact
Skills & Requirements
  • 2+ years of engineering or data science management experience - 4+ direct reports, performance conversations, hiring.
  • 4+ years of hands-on ML or GenAI engineering experience, including production systems
  • Strong practical GenAI fundamentals: LLM APIs, context engineering, RAG, tool/function calling, agents, and evaluation methodology - you understand why these techniques work, not just how to call them
  • Technical judgment: you can scope ambiguous problems, make sound build-vs-buy and custom-vs-off-the-shelf calls, and balance shipping speed with long-term maintainability
  • Data acumen: you can critically assess a dataset, spot distribution problems, and reason about how data quality affects downstream model and business outcomes
  • Product orientation: you engage with business context naturally, partner with PM as an equal, and translate ambiguous requirements into well-scoped technical solutions
  • A people-first management style: you grow engineers through coaching and stretch work, give direct and timely feedback, and create the conditions for your team to do their best work
  • Solid Python and software engineering fundamentals - clean, testable code, REST API design, debugging, and familiarity with CI/CD
  • A genuine habit of self-improvement - you follow the field actively, experiment with new models and tools, and bring what's relevant back to the team

Extra, nice to haves
  • Experience managing engineers working across both traditional ML and GenAI
  • Experience with agentic orchestration frameworks
  • Fine-tuning experience with modern techniques - especially applied to domain adaptation for NLP tasks
  • PyTorch or Hugging Face familiarity
  • Familiarity with LLM evaluation frameworks and a structured approach to measuring model quality
  • Inference optimization awareness - understanding latency/cost/accuracy tradeoffs for LLM solutions
  • Experience building and deploying robust machine learning APIs in cloud environments (AWS or GCP)

What We Offer
  • An inclusive and collaborative company culture- we work in an open environment while working together to get things done, and adapt to the changing needs as they come.
  • Market competitive total compensation package.
  • Volunteer time off and charitable donation matching.
  • Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resource groups.

There is strength in numbers - We are the Numerati
Numerator is 2,000 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.
Being part of the Numerati means that we'll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more - we're always finding ways to better support, celebrate and accelerate our team.