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Data Science Manager Remote Jobs in Lombard, IL (NOW HIRING)

Senior Data Scientist

Chicago, IL · On-site +1

$201K - $248K/yr

About the role You'll own data science at Rundoo end-to-end: turning ambiguous business questions ... This is a remote role with a strong preference for candidates based in SF or NYC . You will report ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ... to manage work items, track progress, and ensure timely delivery. * Support data science and ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ... to manage work items, track progress, and ensure timely delivery. * Support data science and ...

Monitor product performance metrics and conduct data analysis to inform product decisions and ... Bachelor's degree in Business, Computer Science, Engineering, or related field. * We offer a ...

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior Data Scientist

Chicago, IL · On-site +1

$103K - $172K/yr

... and the ranges for remote candidates are $95,900 - $159,800 . This role is eligible for an ... Bachelor's Degree BS in technical field such as Statistics, Mathematics, Data Science, Applied ...

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Showing results 21-40

Data Science Manager Remote information

See Lombard, IL salary details

$30.5K

$95.6K

$169.3K

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

As of Aug 8, 2026, the average yearly pay for data science manager remote in Lombard, IL is $95,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $123,500.00 per year, depending on experience, location, and employer.

What does a data science manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

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

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a data science manager typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are popular job titles related to Data Science Manager Remote jobs in Lombard, IL? For Data Science Manager Remote jobs in Lombard, IL, the most frequently searched job titles are:
What job categories do people searching Data Science Manager Remote jobs in Lombard, IL look for? The top searched job categories for Data Science Manager Remote jobs in Lombard, IL are:
What cities near Lombard, IL are hiring for Data Science Manager Remote jobs? Cities near Lombard, IL with the most Data Science Manager Remote job openings:
Infographic showing various Data Science Manager Remote job openings in Lombard, IL as of August 2026, with employment types broken down into 83% Full Time, 3% Part Time, 3% Temporary, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $95,598 per year, or $46 per hour.

Senior Data Scientist

Rundoo

Chicago, IL • On-site, Remote

$201K - $248K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About Rundoo ℹ
Our mission is to empower independent supply stores with best-in-class technology. Think of your local hardware store or mom-and-pop nursery-these are our clients. From paint to lumber to flooring, over 200,000 such stores across the country sell over $1T of building materials annually using outdated, on-premises systems. We're aiming to help them modernize so that they can continue to thrive.
Backed by leading investors including Bessemer and CRV, we've raised $18M across three rounds and are growing quickly. Our team is made up of builders, sellers, and industry veterans with a shared goal: to bring modern technology to an overlooked industry.
About the role
You'll own data science at Rundoo end-to-end: turning ambiguous business questions into crisp scopes, delivering robust analysis on predictable timelines, and building lightweight internal systems so insights are reproducible (not just a one-off notebook). You'll be a thought partner to leaders across GTM, product, and finance - shaping the question as much as answering it - and proactively surfacing anomalies and opportunities as the business scales.
This is a remote role with a strong preference for candidates based in SF or NYC. You will report directly to the Head of Data Science.
What you'll do as an Data Scientist at Rundoo
  • Deliver high-trust analysis on clear timelines: stakeholders trust both the answer and the ETA; assumptions and limits are explicit.
  • Translate business problems into analysis + system requirements: turn vague asks into crisp scopes, metrics definitions, and data contracts.
  • Build and maintain internal decision systems: ship lightweight tools/workflows so insights are reproducible and maintainable by others.
  • Partner with GTM teams: help Sales/GTM move from "interesting analysis" to actions (e.g., prospecting lists, territory design, experimentation).
  • Proactively surface issues: detect anomalies, broken assumptions, or misallocated spend without waiting for a ticket.
  • Support fundraising readiness: contribute to an evergreen, credible data pool and reporting that leadership can rely on.
Requirements ☑
  • 5+ years of experience in data science, analytics, applied ML or MLE in a high-growth environment
  • Strong applied analytics / data science foundation (statistics, experimentation, causal thinking, forecasting, etc.).
  • Demonstrated ability to scope ambiguous problems and drive to decisions with stakeholders.
  • Comfort writing production-quality code (especially Python) and building maintainable internal systems (not just notebooks).
  • Excellent communication: can explain tradeoffs, assumptions, and recommendations to non-technical audiences.
  • High ownership and autonomy in a fast-paced environment; can operate without a lot of process.
Bonus points
  • Experience partnering closely with Sales/GTM teams (pipeline, conversion, pricing, prospecting, territories, etc.).
  • Experience building internal analytics tooling on cloud infrastructure (basic best practices, reliability, maintainability).
  • Experience operating in early-stage startups and/or building "v1 systems" that later scale.
  • Strong "structured systems thinking" and willingness to defend or revise an approach under scrutiny.

Location
  • Remote friendly
  • Expect ~1 week of travel per quarter to either our Chicago or Redwood City offices.

About the team
You'll partner closely with leaders across the business (GTM, product, and finance) and work directly with exec stakeholders. This is a high-trust, cross-functional role where the outputs need to be decision-ready and reproducible. You would work directly with the GTM leaders on the team:
  1. Amrit (Data Science): Studied CS & English at Cornell; Data Scientist at Enigma; Public Interest Technology Fellow at the New York Public Library. Enjoys mending, maintenance & buying junk on eBay.
  2. Matt (Sales): Studied history at Northwestern; taught middle school in Chicago (hardest job ever), led sales for a consumer start-up (Catch Co.), joined Rundoo as an AE and now leads the GTM team; former competitive angler in college (bass fishing )
  3. Vidhan (Client Experience): Studied Biomedical Engineering and Econ at Duke University; Formerly Director of Product at BuildZoom, Product lead at Hinge Health, and Co-Founder of Urova Medical.

Interview Process
  1. Intro call (30 min)
  2. Take-home exercise overview (30 min)
  3. Paid Take Home (~4-6 hours) - This is the core of the interview. We'll share more information about Rundoo and ask you to complete a task representative of the work you'd do at Rundoo. This interview will be paid, and we ask that you dedicate significant time to it.
  4. On-site
    • Take-home review - pressure-test the analysis; reproduce numbers; push on assumptions
    • GTM collaboration - test trust/translation and move from analysis to action.
    • Lunch with the team
    • Problem solving discussion - informal discussion on how problems are approached and tools used.
    • Systems/engineering - Basic systems architecture and best practices for building an internal tool.
    • Culture - Behavioral questions, geared toward our culture & values.
  5. References: one manager, one peer, one stakeholder (PM/GTM/Finance).

Benefits
  • Full medical, dental, and vision coverage (100% of premiums for you, 50% for dependents)
  • Life Insurance
  • 401k with Betterment
  • Unlimited PTO with 10 company paid holidays
  • Gym allowance
  • Daily team lunches for those in office
  • Learning materials and audiobook subscriptions
  • Dog-friendly office in Redwood City - https://rundoo.ai/rundogs/
About our founders
  1. Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and head of engineering at Apple & Anova; danced with the SF ballet (where he met his wife)!
  2. Nick (CEO): studied math & computer science at Stanford; worked as a trader at Bridgewater & Citadel and as a PM at Google & Enigma; distantly related to the founder of the Hershey company
How we've fundraised
We've raised $18m across three rounds:
  1. A $2m pre-seed led by Kent Bennett at Bessemer with participation from Plug & Play, Quiet Capital, and Sequoia.
  2. A $5m seed led by Caitlin Bolnick Rellas at CRV.
  3. An $11m series A led again by Bessemer and CRV.