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Statistical Signal Processing Jobs in Chicago, IL

Demand Planner

South Holland, IL · On-site

$75K - $95K/yr

... Planning (S&OP) process. The role focuses on statistical forecasting, promotion and event ... signals. * Prepare all materials and decks for the monthly Demand review and weekly tactical S&OP ...

Demand Planner

South Holland, IL · On-site

$68 - $85/hr

... Planning (S&OP) process. The role focuses on statistical forecasting, promotion and event ... signals. * Prepare all materials and decks for the monthly Demand review and weekly tactical S&OP ...

New

Develop trading strategies using statistical and machine learning algorithms * Drive improvements ... signal and feature research * Design and optimize machine learning workflows to support scalable ...

Develop trading strategies using statistical and machine learning algorithms * Drive improvements ... signal and feature research * Design and optimize machine learning workflows to support scalable ...

Showing results 41-60

Statistical Signal Processing information

See Chicago, IL salary details

$87K

$151.7K

$256.5K

How much do statistical signal processing jobs pay per year?

As of Sep 4, 2026, the average yearly pay for statistical signal processing in Chicago, IL is $151,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $164,800.00 per year, depending on experience, location, and employer.

What is a statistical signal processing?

A Statistical Signal Processing job involves analyzing signals using probabilistic and statistical methods to extract useful information, reduce noise, and make predictions. Professionals in this field work with algorithms for applications in communications, radar, audio processing, finance, and biomedical engineering. They use tools like Bayesian estimation, Kalman filtering, and spectral analysis to enhance signal interpretation and decision-making. The role often requires expertise in mathematics, programming, and data analysis to develop efficient signal processing techniques.

What are the key skills and qualifications needed to thrive in statistical signal processing?

To thrive in Statistical Signal Processing, you need strong quantitative and analytical abilities, a background in mathematics or electrical engineering, and experience with probability, statistics, and signal processing concepts. Proficiency with programming languages such as MATLAB or Python, as well as familiarity with simulation tools and relevant certifications like Certified Signal Processing Professional (CSPP), is highly valuable. Problem-solving abilities, effective communication, and teamwork skills help you excel in cross-functional project environments. These competencies are crucial for accurately analyzing data, developing robust models, and delivering effective solutions to complex signal processing challenges.

What are some common challenges faced by professionals working in statistical signal processing roles?

One common challenge is managing noisy or incomplete data, which requires advanced statistical techniques to extract meaningful information from real-world signals. Professionals in this field often need to stay updated with rapidly evolving algorithms and technologies, which can demand ongoing learning and adaptation. Additionally, collaborating across interdisciplinary teams—including software developers, engineers, and scientists—requires clear communication of complex concepts. By developing strong analytical and teamwork skills, you can effectively address these challenges and contribute valuable insights to your organization.

What job categories do people searching Statistical Signal Processing jobs in Chicago, IL look for?

The top searched job categories for Statistical Signal Processing jobs in Chicago, IL are:

Infographic showing various Statistical Signal Processing job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $151,732 per year, or $72.9 per hour.

Mgr, Retailer Data Exchange & Benchmark Research

Numerator / Market Track, LLC

Chicago, IL • On-site

$120 - $190/hr

Other

Posted 3 days ago

New


Key responsibilities

  • Lead the development, validation, and optimization of retailer-level benchmarks and external calibration signals.

  • Define and monitor data quality and benchmark performance metrics, analyzing discrepancies and root causes.

  • Collaborate with cross-functional teams to align priorities, support tool and process development, and translate data insights into actionable recommendations.


Job description

Location: Chicago, IL, USA

Req#: 611403

At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

Numerator is seeking a Manager of Retailer Data & Benchmark Research to lead the development, validation, and ongoing optimization of retailer-level benchmarks and external calibration signals that power our panel data products. This role sits at the intersection of data science, analytics, and product, and is critical to ensuring our data accurately reflects real-world retail dynamics.

You will be responsible for the continued evolution of how we incorporate external signals into our ecosystem, evaluating data quality, and translating complex data behaviors into clear, actionable insights for internal teams and clients.

How You’ll Spend Your Time:

Benchmark Development
  • Own the design, evolution, and performance of retailer-level benchmarks used in calibration.

  • Identify and integrate external data sources (e.g., POS, syndicated data, retailer signals).

  • Partner with Data Science to refine calibration methodologies and ensure benchmarks reflect channel, retailer, and shopper differences.

Data Quality & Validation
  • Define and monitor key data quality and benchmark performance metrics, including drift.

  • Lead analysis of discrepancies between panel data and external benchmarks, identifying and articulating root causes.

  • Develop scalable frameworks to distinguish expected variability from true data issues and operationalize AI-enabled investigative workflows.

Research & Insights
  • Conduct deep-dive analyses of retailer and category trends to inform product and calibration improvements.

  • Translate complex data behaviors into clear insights for internal stakeholders and clients.

  • Establish guidelines for interpreting meaningful vs. immaterial data movement.

Cross-Functional Leadership
  • Partner with Product, Engineering, Data Science, Operations, and Client teams to align priorities and operationalize solutions.

  • Support go-to-market efforts by articulating data strengths, limitations, and appropriate use cases.

  • Serve as a subject matter expert on retailer data, benchmarks, and calibration strategy.

Process, Tooling & Innovation
  • Build scalable processes, dashboards, and reporting to improve visibility into data quality and benchmark performance.

  • Drive continuous improvement in calibration and validation processes.

  • Stay current on GenAI capabilities and translate emerging technologies into practical applications for data quality and analytics.

Skills & Requirements
  • 7+ years of hands-on experience in Data Science, Analytics, or a closely related field, with at least 2 years leading cross functional projects as manager or team lead

  • BS, Masters, or PhD in Mathematics, Statistics, Computer Science, Economics, Physics, or other behavioral and/or equivalent quantitative science

  • Experience working with panel data, POS data, or large-scale consumer datasets

  • Familiarity with calibration, benchmarking, or statistical modeling concepts

  • Proven track record of supporting internal and external customers through development of tools, best practices, processes, and programs

  • Strong stakeholder management and cross-functional collaboration skills

  • Advanced SQL & Python & modeling skills

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.

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