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Remote Data Science Jobs in Cleveland, TN (NOW HIRING)

TPAPT

SAT Tutor - Remote

Chattanooga, TN · Remote

$50 - $75/hr

Use diagnostic data and practice test results to build personalized session plans for each student ... Confidence teaching all sections of one or both tests , including ACT science * Strong ...

TPAPT

SAT Tutor - Remote

Chattanooga, TN · On-site +1

$50 - $75/hr

Use diagnostic data and practice test results to build personalized session plans for each student ... Confidence teaching all sections of one or both tests , including ACT science * Strong ...

CBMC INC

Systems & Automation Developer

Chattanooga, TN · On-site +1

Chattanooga, TN (onsite) or Remote Direct Reports : No Purpose Statement The Systems and Automation ... Required: * Bachelor's degree in Information Systems, Computer Science, Data Analytics, or a ...

ABB

Business Process Manager

Athens, TN · Remote

This is a remote position, with preference for candidates to be located in a major metro city in ... Partner with senior leadership on FICO strategy, data integrity, internal controls, and roadmap ...

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Remote Data Science information

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 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 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 are popular job titles related to Remote Data Science jobs in Cleveland, TN? For Remote Data Science jobs in Cleveland, TN, the most frequently searched job titles are:
What cities near Cleveland, TN are hiring for Remote Data Science jobs? Cities near Cleveland, TN with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Cleveland, TN as of May 2026, with employment types broken down into 68% Full Time, 27% Part Time, 3% Contract, and 2% Nights. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution.

Senior Data Scientist - AI & People Analytics

Unum UK

Chattanooga, TN • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

  • Award-winning culture

  • Inclusion and diversity as a priority

  • Performance Based Incentive Plans

  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability

  • Generous PTO (including paid time to volunteer!)

  • Up to 9.5% 401(k) employer contribution

  • Mental health support

  • Career advancement opportunities

  • Student loan repayment options

  • Tuition reimbursement

  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.

And that's just the beginning...

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:We're looking for a Senior Data Scientist passionate about using AI, ML, and LLMs to transform how organizations understand and optimize their workforce. This highly visible role sits at the intersection of advanced AI, scalable data engineering, and people analytics, partnering with senior HR and business leaders to deliver productiongrade solutions.
You'll architect intelligent systems-not just models-translate complex workforce data into actionable insights and help shape our AI roadmap. If you thrive in ambiguity, own endtoend solutions, and want to influence talent strategy, organizational design, and employee experience, we'd love to talk.Job Specifications

  • Bachelor's degree in a quantitative field required; advanced degree preferred.

  • Minimum of 6 years of relevant analytical or data science experience.

  • Demonstrated depth in multiple core data science disciplines (e.g., ML/statistics, data engineering, automation).

  • Advanced SQL and data modeling experience across complex data environments.

  • Proven ability to independently manage multiple initiatives and provide direction to others.

  • Strong written and verbal communication skills.

  • Experience working in regulated or complex operational environments preferred.

  • Demonstrated leadership capability and a track record of delivering high-impact analytical solutions.

Technical Specifications

  • Hands-on experience with modern AI approaches (LLMs, embeddings, RAG, etc.)
    Vector databases (e.g., FAISS, Chroma) and RAG architectures

  • GitHub (including GitHub Copilot)

  • Web app frameworks (e.g., Streamlit, Dash, FastAPI) for building analytics products

Primary Responsibilities

  • Lead the design, development, and deployment of advanced statistical, machine learning, and AI solutions-including LLM-powered applications-to solve complex business, workforce, and organizational challenges.

  • Translate ambiguous business and HR questions into well-defined analytical approaches, scalable data products, and decision-support tools.

  • Design and oversee end-to-end data science workflows, including data extraction (e.g., enterprise data warehouses), validation, modeling, deployment, and performance monitoring.

  • Integrate data from multiple internal and external sources to create modeling-ready datasets, reusable data assets, semantic layers, and metadata frameworks that enable scalable and self-service analytics.

  • Develop and productionize predictive and prescriptive models to explain outcomes, forecast behavior, and identify risks and opportunities.

  • Build and deploy advanced AI solutions using modern frameworks (e.g., LLMs, embeddings, RAG architectures), and lead experimentation and rapid prototyping to evaluate emerging capabilities.

  • Embed analytics and AI solutions into business processes through automation, system integration, and near real-time data capabilities.

  • Partner with HR Business Partners, talent leaders, executives, data engineering, and IT teams to deliver actionable insights and ensure alignment with architectural, security, and data quality standards.

  • Provide technical leadership across data science initiatives, ensuring consistency with best practices, methodologies, and quality standards.

  • Communicate complex analytical insights and AI concepts clearly to non-technical stakeholders, influencing strategic and operational decision-making.

  • Mentor and coach junior team members, elevating team capabilities in AI, machine learning, and analytics best practices.

  • Ensure adherence to responsible AI principles, including data privacy, bias mitigation, security, and ethical use of employee data.

  • Stay current on emerging AI and analytics trends, proactively identifying opportunities to incorporate new technologies into enterprise use cases.

#LI-AD1

#LI-MULTI

~IN1

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$89,400.00-$183,500.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

Unum

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