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Part Time Data Science Jobs in Evanston, IL (NOW HIRING)

Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ... Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction ...

Our mission is to combine data science and human expertise to transform healthcare worldwide. We ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

Lead Data Engineer

Chicago, IL · On-site

$106K - $182K/yr

Minimum - 4 Year Bachelors Degree in Computer Science or Related * Minimum - 5 Years Data warehouse ... regular part-time, or temporary employment. Adhere to and ensure compliance of all business ...

Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ... Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction ...

Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ... Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction ...

Showing results 41-60

Part Time Data Science information

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

What are part-time data science jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What are the key skills and qualifications needed to thrive as a part-time data scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

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

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

What cities near Evanston, IL are hiring for Part Time Data Science jobs?

Cities near Evanston, IL with the most Part Time Data Science job openings:

Infographic showing various Part Time Data Science job openings in Evanston, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Associate Manager, Retail Analytics

Cresco Labs

Chicago, IL • On-site

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Key responsibilities

  • Analyze, mine, and aggregate data from internal and external sources to identify actionable insights.

  • Build and manage cross-functional tools and processes to optimize decision-making across the organization.

  • Provide pricing analysis, calculate ROI of retail promotions, and make recommendations to merchants.


Cresco Labs rating

6.9

Company rating: 6.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

10th of 33 rated cannabis dispensaries


Job description

JOB SUMMARY

Cresco Labs Corporate is seeking a Sr. Data Analyst to support our Retail teams.  Within this role, you will be responsible for mining, analyzing, visualizing data and the insights it provides.  Through those insights you will support Sunnyside's retail initiatives, including analysis of customer purchase behavior, pricing, profitability, promotions, loyalty program, and competitive analysis.  The role will be highly collaborative, working across all Retail cross-functional teams (Merchandising, Marketing, Regional Operations, Commercial Strategy, Demand Planning, Finance, and IT teams.)

CORE JOB DUTIES 

  • Analyze, mine, and aggregate data from internal and external sources- drawing actional insights to present and visualize findings clearly to cross-functional partners. 
  • Build and own cross functional tools/processes that go beyond standard business reporting to optimize decision-making across multiple levels of organization.   
  • Establish relationships between retail sales performance and causal factors such as changes in pricing, assortment, and competitive activity.  Ability to synthesize and explain results to decision makers on necessary actions 
  • Provide pricing analysis and calculate ROI of retail promotions.  Make recommendations to merchants such as right breadth, depth, and frequency of promotions. 
  • Create and manage reporting analytics for the Loyalty rewards program.  Provide guidance to retail marketing on which levers should be pulled for each event goal. 
  • Assume the role of data and business expert for retail merchandising, operations, and marketing teams 
  • Use creative problem-solving skills to answer nuanced & complex business questions 
  • Support development of the forecast budget and develop Monthly customer purchase behavior decompositions in coordination with Demand Planning Team. 
  • Act as a liaison and source of truth between the business and BI team, ensuring tableau dashboards are tailored to business reporting needs. 
  • Collaborate cross-functionally with other team members to drive various initiatives forward 
  • Leverage AI tools and large language models to design automated workflows and agent-based interactions that accelerate routine analysis and surface deeper, more nuanced insights. 

REQUIRED EXPERIENCE, EDUCATION AND SKILLS  

  • 4+ years of experience in consulting, data science, quantitative marketing, merchandising, or a related data-driven field 
  • Bachelor's degree in Business, Economics, Operations (or similar) 
  • Highly proficient in Microsoft Office, advanced Excel knowledge.   
  • Familiarity with relational databases (SQL) and business intelligence tools (i.e., Tableau, Power BI) 
  • Ability to understand business operations, processes, and translate data into business insights that "tell a story" or aid decision-making 
  • Strong analytical skills with the ability to collect, organize, analyze and communicate data and information with attention to detail and accuracy 
  • Experience with sales data analytics strongly preferred 
  • Effective time management and prioritization skills.  Strong interpersonal & collaboration skills 

BENEFITS

Cresco Labs is proud to offer eligible employees a robust offering of benefits including, major medical, dental and vision insurance, a 401(K)-match program, FSA/HSA programs, LTD/STD options, life insurance and AD&D.  We also offer eligible employees paid holidays and paid time off.  Other rewards may include annual discretionary bonuses, stock options as well as participation in our employee discount program. Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or position.


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