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Overnight Data Science Mentor Jobs in Illinois (NOW HIRING)

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site

As a senior member of the team, this role helps shape HNI's data science standards, mentors other data scientists, and partners closely with business and IT leaders to ensure data science solutions ...

Launch Consulting

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and ...

Launch Consulting

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and ...

84.51°

Senior Data Scientist

Chicago, IL · On-site

Collaborate across data science, product, engineering, and capabilities teams to validate new use cases, assess data quality, and support innovation. * Mentor and support junior data scientists ...

The Hartford

Senior Data Scientist

Chicago, IL

$110.72K - $166.08K/yr

Ability to mentor and support the development of Data Science and Actuarial peers. Why Join Us? Engage in high-visibility enterprise modeling initiatives. Work with modern analytical tools, ML, and ...

Zimmerman Advertising

Data Scientist

Chicago, IL · On-site

Provide mentorship and technical guidance to junior data scientists and machine learning engineers. * Leveraging open-source tools and building frameworks and components to improve and scale our ...

PayPal

Sr Data Scientist

Chicago, IL

Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists. Essential Responsibilities: * Lead the development and implementation of advanced ...

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Overnight Data Science Mentor information

What are the key skills and qualifications needed to thrive as an Overnight Data Science Mentor, and why are they important?

To thrive as an Overnight Data Science Mentor, you need a solid background in statistics, programming (such as Python or R), and practical experience applying data science methodologies, often supported by a relevant degree or certifications. Familiarity with tools like Jupyter Notebook, SQL, data visualization platforms, and cloud-based collaboration systems is essential. Strong communication, patience, and the ability to explain complex concepts clearly are vital soft skills for guiding learners remotely. These skills ensure effective mentorship, foster student growth, and help maintain a supportive learning environment during overnight hours.

What are the typical responsibilities and challenges faced by an Overnight Data Science Mentor?

As an Overnight Data Science Mentor, you are primarily responsible for providing guidance, feedback, and support to data science students outside of regular business hours. This often involves answering technical questions, reviewing project work, and helping learners troubleshoot coding issues in real time. A common challenge in this role is balancing prompt, clear communication with students across different time zones while ensuring complex concepts are explained in an accessible manner. Additionally, working overnight hours requires strong time management and self-motivation. The role is highly collaborative, as you often coordinate with other mentors and instructional staff to ensure consistent support and learning outcomes.

What does an Overnight Data Science Mentor do?

An Overnight Data Science Mentor provides guidance and support to students or professionals learning data science, typically during nighttime or off-peak hours. Their main responsibilities include answering questions, reviewing code and projects, offering feedback, and assisting with problem-solving in areas like statistics, machine learning, and programming. This role is especially important for learners in different time zones or those with non-traditional schedules, ensuring continuous support and engagement. Mentors often work remotely and may collaborate with educational platforms or bootcamps to help learners achieve their goals.

What is the difference between Overnight Data Science Mentor vs Data Scientist?

AspectOvernight Data Science MentorData Scientist
CredentialsTypically requires a background in data science, mentoring experience, and relevant certificationsRequires a degree in data science, statistics, or related fields; certifications are common
Work EnvironmentOften remote, flexible hours, focused on mentoring and trainingUsually office-based or remote, involved in data analysis, modeling, and research
Employer & IndustryEducational platforms, online training companies, startupsTech companies, finance, healthcare, consulting firms
Search & Comparison IntentPeople looking for mentorship roles or part-time mentoring opportunitiesIndividuals seeking full-time data analysis or modeling roles

The main difference is that an Overnight Data Science Mentor focuses on guiding and training learners, often remotely and part-time, while a Data Scientist is involved in analyzing data, building models, and making data-driven decisions in a full-time professional setting.

What are the most commonly searched types of Data Science Mentor jobs in Illinois? The most popular types of Data Science Mentor jobs in Illinois are:
What are popular job titles related to Overnight Data Science Mentor jobs in Illinois? For Overnight Data Science Mentor jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Overnight Data Science Mentor jobs in Illinois look for? The top searched job categories for Overnight Data Science Mentor jobs in Illinois are:
What cities in Illinois are hiring for Overnight Data Science Mentor jobs? Cities in Illinois with the most Overnight Data Science Mentor job openings:
Overnight Data Science Mentor jobs near you
Machine Learning / Data Science Engineer

Machine Learning / Data Science Engineer

CapTech Consulting

Chicago, IL • On-site

$118K - $141.80K/yr

Other

Medical, Retirement, PTO

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

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
Qualifications
  • Bachelor's degree or equivalent combination of education and experience.
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration
Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $90,000 - $200,000k.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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