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

Computational skills using Python and/or R, including experience with data science and biological ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Physics Expert - Remote

Chicago, IL · Remote

$80 - $160/hr

Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific ... Experience supervising PhD students, postdoctoral researchers , or equivalent research leadership ...

This Internship will be Remote, Onsite or Hybrid in Niles, IL. * Conducting research and developing ... Statistics, Physics, Data Science, Machine Learning, or a related quantitative field.

New

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Showing results 41-60

Postdoc Data Science Remote information

See Lombard, IL salary details

$56.6K

$67K

$126.9K

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

As of Sep 5, 2026, the average yearly pay for postdoc data science remote in Lombard, IL is $66,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $58,600.00 per year, depending on experience, location, and employer.

What is a postdoc data science remote?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

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

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote postdoc data scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What are popular job titles related to Postdoc Data Science Remote jobs in Lombard, IL?

For Postdoc Data Science Remote jobs in Lombard, IL, the most frequently searched job titles are:

What job categories do people searching Postdoc Data Science Remote jobs in Lombard, IL look for?

The top searched job categories for Postdoc Data Science Remote jobs in Lombard, IL are:

What cities near Lombard, IL are hiring for Postdoc Data Science Remote jobs?

Cities near Lombard, IL with the most Postdoc Data Science Remote job openings:

Product Manager, Data Analytics

Equity Residential

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Collaborates with business, analytics, and engineering teams to define the vision, strategy, and long-term roadmap for data and machine learning products.

  • Translates complex pricing, forecasting, and operational needs into clear product requirements, user stories, and acceptance criteria.

  • Partners with the Senior Software Engineer - Data & Analytics Products to operationalize models into user-facing applications and enterprise systems.


Equity Residential rating

6.7

Company rating: 6.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

136th of 260 rated facilities management


Job description

About Vivmark Residential:

Vivmark Residential exists to set the mark for what home can be. Formed through the merger of AvalonBay Communities and Equity Residential, Vivmark brings together two industry leaders with a shared commitment to excellence, innovation, and delivering exceptional living experiences. Our vision is to be the most trusted and best-performing rental housing company in America - one that continues to get better as it grows. And we're looking for people who want to help us do it.

As an owner, developer, and manager of more than 180,000 apartment homes in major markets across the US, we have the scale to offer something most companies can't. At Vivmark, team members move up and across functions, markets, and disciplines, building lasting careers. We invest in team members' growth, development, and capabilities that make them and us better, and we hold ourselves to the highest standard as an employer.

The best people want to work here. We hope you're one of them.

We Offer: A competitive benefits package that supports your health, financial well-being, and work-life balance, including medical, dental, and vision coverage, a 401(k) with company match, paid vacation and company holidays, and exclusive team member housing discounts. 

The Role:

Reporting to the Senior Manager, Data Analytics, the candidate will be responsible for defining, delivering and continuously enhancing Vivmark Residential's analytics and machine-learning-enabled products. This role sits at the intersection of data science, software engineering, and business strategy.  Translating analytical insights into scalable systems and partnering with technical teams to operationalize machine learning models into production-grade applications. The ideal candidate brings a blend of product management discipline, technical fluency in machine learning and data pipelines, and strong program management skills. This role collaborates closely with the Senior Software Engineer, data scientists, and business partners to build intuitive, reliable products that drive measurable impact on pricing, forecasting, and operational decision-making.

PLEASE NOTE: Our current onsite work schedule requires attendance from Monday through Thursday each week, with remote work permitted on Fridays.

WHAT YOU'LL DO:

  • Collaborates with business, analytics, and engineering teams to define the vision,  strategy, and long-term roadmap for data and machine learning products. 
  • Translates complex pricing, forecasting, and operational needs into clear product  requirements, user stories, and acceptance criteria. 
  • Leads prioritization across competing business and technical needs, managing  backlogs and release plans. 
  • Serves as product spokesperson and subject matter expert for analytics capabilities across the enterprise. 
  • Works directly with data scientists to understand and refine model outputs, feature relevance, performance metrics, and constraints. 
  • Applies strong technical knowledge of machine learning workflows, pipelines, APIs, and model monitoring to guide product direction and evaluate trade-offs.
  • Partners with the Senior Software Engineer - Data & Analytics Products to  operationalize models into user-facing applications and enterprise systems. 
  • Ensures all ML-driven product features emphasize explain ability, compliance, and reliability.
  • Defines and tracks key KPIs (e.g., model accuracy, revenue lift, adoption, system  reliability) to measure product performance and business impact. 
  • Establishes a structured cadence for reviewing KPIs with cross-functional  partners and initiating corrective actions or enhancements. 
  • Drives successful delivery of milestones across pilots, MVP releases, and  product iterations. 
  • Leads retrospectives and drives continuous improvement of analytics workflows, model governance, and product execution processes. 
  • Acts as the bridge between data scientists, software engineers, IT, Pricing, and Operations teams. 
  • Facilitates workshops, demos, feedback sessions, and cross-functional updates  to maintain alignment and transparency. 
  • Communicates complex analytical concepts in a clear, business-relevant manner  for stakeholders at all levels. 
  • Supports change management, training, and adoption for new analytics  capabilities across the organization. 

REQUIREMENTS:

  • Bachelor's degree required; degree in Business, Computer Science, Engineering, Analytics, Economics, or related field preferred. 
  • 5 plus years of experience in Product Management, Technical Program Management, or Engineering, with a focus on data, analytics, or platform  development.
  • Strong technical working knowledge of machine learning models, data pipelines, model deployment workflows, and APIs-with hands-on experience partnering with data scientists and engineers. 
  • Demonstrated ability to integrate machine learning driven features into end-to-end production systems and evaluate model performance. 
  • Proficiency with SQL, analytics environments, and BI tools (Power BI, Tableau,  etc.). 
  • Proven experience with Agile methodologies, backlog management, sprint  execution, and iterative product delivery.
  • Experience defining and managing program-level KPIs, establishing review  cadences, and leading data-driven decision processes. 
  • Experience in Revenue Management, pricing optimization, forecasting, yield management, or similar analytical domains (real estate,  hospitality, travel, etc.). 
  • Excellent verbal and written communication skills with ability to translate between technical and non-technical stakeholders. 

The Company may revise this job description from time to time as business needs require. It is not intended to be an exhaustive listing of all the functions of the job, nor to limit the Company's right to assign other functions to a team member in this position. This job description does not constitute a written or implied contract of employment.

SALARY:

$106,228-$132,785 per year; in addition to base salary, a discretionary 16.0% annual bonus is provided.

The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications.

RELOCATION:

Vivmark Residential does not cover relocation costs for this opportunity; all relocation and related expenses are the responsibility of the candidate.

PHYSICAL AND VISUAL ACTIVITIES:

Ability to effectively hear, speak, and communicate in person and over the phone, including the clear exchange of information through spoken and written communication. Ability to interpret, evaluate, and accurately convey detailed verbal and written instructions. Visual acuity sufficient to use a computer effectively and read written materials. Ability to lift, push, pull, or carry up to 15 pounds to distribute documents, supplies, and materials throughout the office or facility. May be required to climb stairs depending on property layout. Occasional travel may be required.

The above describes the physical and visual activities that are commonly associated with the performance of the essential functions of this job. "Commonly associated" is not intended to mean always or only. Reasonable accommodation will be provided as required by law to enable otherwise qualified employees with a known disability to perform the essential functions of the job.

WORKING ENVIRONMENT:

Our work environment is casual, collaborative, and people-first. Team members are encouraged to bring their authentic selves to work, share ideas openly, and communicate comfortably across all levels of the organization. While we value professionalism and accountability, we also believe a relaxed atmosphere fosters creativity, productivity, and strong working relationships. Team members enjoy a flexible, supportive culture where teamwork, mutual respect, and a sense of balance are priorities.

Vivmark Residential is an Equal Opportunity Employer. We are committed to equal employment opportunities for all job applicants and employees. No job applicant or employee will be discriminated against because of race, religion, color, sex, sexual orientation, gender, sexual/gender identity, age, disability, pregnancy, national origin, military or veteran status, or any other characteristic protected by applicable law. Vivmark Residential is committed to hiring a diverse workforce. Vivmark Residential has a smoke-free workplace environment.

#LI-WM1 #Hiring #Hybrid #VivmarkResidential #Chicago #DataAnalytics #MachineLearning #RevenueManagement #ProductManager #DataDriven #TechnologyJobs #CareerOpportunity

Vivmark Residential exists to set the mark for what home can be. Our vision is to be the most trusted and best-performing rental housing company in America - one that continues to get better as it grows. And we're looking for people who want to help us do it.

As an owner, developer, and manager of more than 180,000 apartment homes in major markets across the US, we have the scale to offer something most companies can't. At Vivmark, team members move up and across functions, markets, and disciplines, building lasting careers. We invest in team members' growth, development, and capabilities that make them and us better, and we hold ourselves to the highest standard as an employer.

The best people want to work here. We hope you're one of them.

Vivmark Values

At Vivmark Residential, like our residents, our employees come from everywhere. A richly diverse work environment captures top talent, cultivates the best ideas, and creates the widest possible platform for success. By focusing on inclusion, these differences are harnessed to create value - in ideas, business practices, relationships, and employee engagement. As an Equal Opportunity Employer, we are committed to maintaining a diverse, inclusive and equitable work environment where our employees can thrive. 

All aspects of the employment process are merit-based. Every Vivmark employee is expected to maintain a work environment that is free from discrimination and harassment. Vivmark Residential does not discriminate against any employee or job applicant because of race, religion, color, creed, sex, sexual orientation, gender, sexual/gender identity/expression, age, pregnancy (including childbirth, lactation or related medical conditions), physical or mental disability, national origin, citizenship status, military (including uniformed service member or protected veteran) status, marital status, genetic characteristic or information, ancestry or any other characteristic protected by law. Vivmark Residential also prohibits retaliation against individuals who report harassment or discrimination, or participate in investigations into such conduct.


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