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

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2-4 years of applied ML or data science experience, or equivalent practical ...

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 ...

Data Engineer

Downers Grove, IL · On-site +1

$113K - $135K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field and 6 months of experience in the job offered or related ...

Data Engineer

Downers Grove, IL · On-site +1

$113K - $135K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field and 6 months of experience in the job offered or related ...

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 ...

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 ...

... remote work. ➡ Effortless commute options with valet parking on-site, quick access to the "L" at ... Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, Business ...

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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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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).

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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
What are the most commonly searched types of Data Science jobs in Addison, IL? The most popular types of Data Science jobs in Addison, IL are:
What are popular job titles related to Remote Data Science jobs in Addison, IL? For Remote Data Science jobs in Addison, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Addison, IL look for? The top searched job categories for Remote Data Science jobs in Addison, IL are:
What cities near Addison, IL are hiring for Remote Data Science jobs? Cities near Addison, IL with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Addison, IL as of June 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Scientist II, Molecular Biology

Data Scientist II, Molecular Biology

EVOZYNE INC

Chicago, IL • On-site, Remote

$150K - $175K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Evozyne is an AI-native biotech company building a new way to design therapeutic proteins. Our generative AI platform was purpose-built to create entirely novel proteins that expand what’s possible beyond traditional drug discovery. We are applying this platform to develop transformative therapies for serious diseases with significant unmet need, working at the intersection of AI, biology, and protein engineering to solve complex scientific problems that conventional approaches cannot easily address.

Reporting to the Senior Director, Data Science, you will execute the analytical strategy for our drug discovery programs, encompassing experimental design, data synthesis, and featurization. You will partner closely with experimental scientists to understand assay design, wrangle multi-assay datasets, build decision-grade plots and summaries, and translate results for audiences from bench scientists to leadership. You’ll incorporate the latest advances in biological assay developments and database infrastructure to streamline program analytical processes, and your work will directly support experimental decision-making and generate high-quality datasets for model training (GenAI) for the design of novel synthetic biomolecules.

Location: Hybrid preferred (3 days per week in Chicago office); Open to remote (US-based)

What You’ll Do

  • Analyze, synthesize, and catalog experimental data across various data modalities to provide insights and optimization approaches.
  • Collaborate extensively with experimental scientists - asking questions, reflecting on objectives, and agreeing on success criteria before executing.
  • Own the development of reproducible pipelines to synthesize high-throughput experimental results into features amenable for training deep learning models.
  • Draw upon their experience in programming to maintain and update the company’s data processing and ingestion software infrastructure.
  • Deliver analyses and decision-grade visualizations that directly inform next-step experiments, assay optimization, or go/no-go decisions. 

Who You Are
You thrive in an early-stage start-up environment where you can leverage your agility and expertise to deliver high-quality results. You are galvanized by designing novel therapeutics in a rapidly evolving field with a cross-functional team of experts spanning biological disciplines. You are naturally curious and excel when working collaboratively to solve tough problems.

Required Skills + Experience

  • A PhD in a relevant scientific/or technical discipline with 0-2+ years relevant postdoctoral or industry experience, or a Master\'s degree with 4+ years of experience.
  • 2+ years of experience working in a cross-functional, collaborative scientific environment, such as in an academic lab, pharmaceutical company, and/or biotech.
  • Extensive experience working in an experimental scientific discipline, designing and executing experiments.
  • Advanced proficiency in preprocessing, analyzing, and cataloging high-throughput molecular biology or biochemistry datasets in Python.
  • Familiarity in database organization and management.
  • Expertise in ML and deep learning implementation, preferably in PyTorch or TensorFlow, is preferred.

Additional Information
Compensation: $150,000 - $175,000 

Individual compensation within this range is determined by a combination of factors, including, but not limited to level, years of relevant job-related experience, and internal equity. This is what we believe in good faith is the range of possible base salary for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. 

Relocation assistance is not available for this position.