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Remote Meta Data Science Jobs in Illinois (NOW HIRING)

WEC Energy Group

Cloud Data Developer

Chicago, IL · On-site +1

$135K/yr

This position currently offers flexibility for a hybrid work arrangement (remote/on-site) with time ... Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information ...

Kemper

Principal Data Engineer

Chicago, IL · On-site +1

... Data Science, or related fields or equivalent work experience. * This position can be worked hybrid out of a local Kemper office, including Chicago or Downers Grove, IL. Remote working arrangements ...

Kemper

Principal Data Engineer

Downers Grove, IL · On-site +1

... Data Science, or related fields or equivalent work experience. * This position can be worked hybrid out of a local Kemper office, including Chicago or Downers Grove, IL. Remote working arrangements ...

DocuSign

Product Manager - Data Onboarding

Chicago, IL · On-site +1

$104K - $161K/yr

... Data Science, to define the next generation of seamless document integration for enterprise ... Employee divides their time between in-office and remote work. Access to an office location is ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

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All JobsMeta Data Science JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in Illinois

Remote Meta Data Science information

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

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What are the key skills and qualifications needed to thrive as a Remote Meta Data Scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What are the most commonly searched types of Meta Data Science jobs in Illinois? The most popular types of Meta Data Science jobs in Illinois are:
What are popular job titles related to Remote Meta Data Science jobs in Illinois? For Remote Meta Data Science jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Meta Data Science jobs in Illinois look for? The top searched job categories for Remote Meta Data Science jobs in Illinois are:
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Remote Meta Data Science jobs near you
Client Partner/ Account Director - Analytics Consulting

Client Partner/ Account Director - Analytics Consulting

Tiger Analytics Inc.

Chicago, IL • On-site, Remote

Full-time

Posted 16 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Responsibilities:

  • Lead delivery, account management, client relationships, and drive account growth.
  • Leverage advanced data science and data engineering solutions to address complex business challenges for CPG and Retail clients.
  • Partner with business and data stakeholders to understand key priorities, define problem statements, and develop strategic analytics roadmaps, including identification and prioritization of high-impact use cases.
  • Collaborate with cross-functional teams of data scientists, data engineers, and analysts to define requirements and deliver high-quality, scalable solutions.
  • Drive measurable business impact by delivering solutions aligned to strategic, operational, and tactical objectives, and present outcomes to executive leadership.

Requirements

  • 15+ years of experience in the field of delivering advanced analytics-based consulting services to clients and experience in designing/implementing large data analytics or data engineering programs.
  • Experience managing large accounts and being actively involved in account growth would be an added advantage. P&L ownership in the past would also be an added advantage.
  • Ability to engage with VP / Director-level stakeholders from the client's team, including data leads, and with internal remote teams to define business problems and collaborate on solution approaches.
  • Knowledge of domains like Retail & CPG will be highly preferred.
  • Experience as a hands-on contributor or in leading a team on price & promotion optimisation programs is a plus.
  • Excellent communication (written and verbal) and presentation skills.
  • Ability to work with global teams, communicating client business problem context to the remote teams and leveraging them effectively in execution, while owning client presentation, project management and expectation setting.
  • Working from client offices in Chicago, IL 3 days a week. Open to travel for onboarding to India.
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes.
  • Experience with analytic tools such as R, Python, AWS, Databricks, and exposure to cloud platforms and big data systems is an advantage.
  • Graduate in Business Analytics or MBA or equivalent work experience.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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