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Remote Data Science Jobs in Winnetka, IL (NOW HIRING)

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Experience with continuous integration, especially in a data science context * Experience with Ruby on Rails Benefits: * Competitive salary and benefits package * Flexible, remote work * Fun, fast ...

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Bachelor's degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

TEKsystems

Senior Data Scientist

Chicago, IL · Remote

$100 - $115/hr

THIS IS 100% REMOTE AND LONG TERM. Top Skills Details Python,SQL,AWS,Research Modeling,NLP,feature ... Research-minded data scientist, not just a model user - Evidence of owning and designing ML ...

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Use advanced data analytics to understand consumer risk behavior trends, their impact on the ...

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Use advanced data analytics to understand consumer risk behavior trends, their impact on the ...

Tiger Analytics Inc.

DS/AI Tech Leader

Chicago, IL · Remote

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives ...

Tiger Analytics Inc.

DS/AI Tech Leader

Chicago, IL · On-site +1

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data Science Growth Leader) to join our team. This role will co-own business development and growth initiatives ...

DevSelect

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Title: Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is ... Sc. in Computer Science, Engineering, or related field.

IQVIA

Senior Data Team Lead (Remote)

Chicago, IL · Remote

$86K - $217K/yr

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 ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Winnetka, IL

Remote Data Science information

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
What cities near Winnetka, IL are hiring for Remote Data Science jobs? Cities near Winnetka, IL with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Winnetka, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Engineer

NinjaHoldings

Chicago, IL • On-site, Remote

$100K - $145K/yr

Full-time

Posted 21 days ago

Job description

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our NinjaEdge brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.
Job Summary
We are looking for a Data Engineer to join a team of analytics and machine learning experts. The hire will be responsible for building tooling to support analytics, helping to extend our machine learning platform, expanding and optimizing our data pipeline architecture, supervising junior engineers, and interfacing with the Development team to create cross-team solutions. The ideal candidate is an experienced data engineer and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. Experience in analytics and statistics is a major bonus. The right candidate will be excited by the prospect of optimizing or even re-designing, our company's data architecture to support our next generation of products and data initiatives; as well as mentoring and guiding junior members of the team.
Key Responsibilities:
  • Supervise junior members of the data engineering team. Guiding, planning, and reviewing the team's work
  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Extend our machine learning platform by designing tools that interface with cloud services, our current code base, and provide new flexibility in model building
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and AWS
  • Build analytics tools to provide actionable insights into key business performance metrics, as well as supporting the needs of the analytics team
  • Create data-handling tools for analytics and data scientist team members that assist them in building and optimizing our decision-making process

Ideal Candidate Will Have:
  • 3+ years of experience in a Data Engineer role
  • Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • Advanced working SQL knowledge and experience working with relational databases (including Postgres and MySQL), query authoring (SQL), as well as working familiarity with a variety of databases
  • Experience building data pipelines, architectures, and data sets from raw, loosely structured data
  • A history of focusing on test driven design and results for repeatable and maintainable processes and tools
  • Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Working knowledge of message queuing, stream processing, and highly scalable data stores
  • Strong project management and organizational skills and the ability to work independently in a fast-paced, quickly changing environment. Ability to keep up with several projects at once and understand the impact of projects within a larger system
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Experience managing junior engineers and guiding a team of engineers through project planning, execution, and quality control stages
  • Candidate should have experience using the following software/tools:
    • Experience with object-oriented design in Python
    • Experience with data pipeline and workflow management tools
    • Experience with AWS cloud services: EC2, RDS, Redshift, Glue, S3

Additional Pluses:
  • Strong analytic skills and understanding statistical methodologies
  • Experience building machine learning models
  • Experience handling data from acquisition to usage in models
  • Experience building and maintaining RestAPI systems, Flask apps, and state machines
  • Experience with continuous integration, especially in a data science context
  • Experience with Ruby on Rails

Benefits:
  • Competitive salary and benefits package
  • Flexible, remote work
  • Fun, fast-paced work environment
  • Dynamic start-up culture
  • Ability to make an immediate impact in a growth stage company
  • Convenient downtown Chicago office located in the heart of the city
  • Equal opportunity employer

IMPORTANT NOTICE:
Please carefully review communications to ensure that they are from the official Breezy applicant tracking platform (@ninjaholdings.breezy-mail.com) or an official NinjaHoldings brand email: @ninjaholdings.com, @creditninja.com, @ninjacard.com, or @edgescore.com. If you have been contacted regarding a job opening at NinjaHoldings from any other email address, including similar email variations, this is NOT a trusted source. We recommend that you refrain from responding to suspicious emails and file a complaint with the FBI's Internet Crime Complaint Center (IC3) at https://www.ic3.gov. For questions or to confirm the authenticity of a communication, please email hr @ninjaholdings.com.

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