ZipRecruiter

Log In

2

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

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Dandridge, TN

Remote Data Science information

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).

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 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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What job categories do people searching Remote Data Science jobs in Dandridge, TN look for?

The top searched job categories for Remote Data Science jobs in Dandridge, TN are:

What cities near Dandridge, TN are hiring for Remote Data Science jobs?

Cities near Dandridge, TN with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Dandridge, TN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Distribution Grid Modeling and Analytics - Engineer Staff III

Electric Power Research Institute, Inc.

Knoxville, TN • On-site, Remote

$92K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Job Title:Distribution Grid Modeling and Analytics - Engineer Staff IIILocation:Knoxville, TNJob Summary and Description:

Utilities around the world are transforming their distribution systems to support electrification, distributed energy resources (DER), resilience, decarbonization, and growing operational complexity. As planning and operations become increasingly data-driven, utilities need advanced analytics, high-fidelity modeling, artificial intelligence, and trusted data to maintain a reliable, resilient, and efficient grid.

The EPRI Distribution Operations and Planning team leads collaborative research that advances the state of the art in distribution system planning and operations. Through the development of innovative methodologies, simulation tools, analytics, and field-validated solutions, the team addresses challenges spanning grid modernization, DER integration, protection, resilience, operations, and emerging technologies.

This position conducts research in advanced power system modeling, simulation, AI, machine learning, and measurement-based analytics. The successful candidate will develop and apply advanced analytical methods that combine power system models with data-driven approaches, leveraging utility data to improve planning, operations, and protection while translating cutting-edge research into practical solutions for the electric utility industry.

Key Responsibilities:

  • Makes significant contributions to advanced modeling, simulation, and analytics projects

  • Conducts independent research activities with guidance and contributes to development of new tools, methodologies, and research approaches to address industry challenges

  • Evaluate emerging technologies and applications through analytical and field-based studies

  • Contribute to technical publications, conference papers, webinars, and industry presentations

  • Support proposal development and strategic research planning activities

  • Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption

  • Contribute to the development and evaluation of AI-enabled tools and analytics applications for utility planning and operations

  • Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration

  • Conduct model verification and validation activities using utility measurement data

  • Assess the applicability, limitations, and performance of emerging AI technologies within utility environments

Ideal candidate:

  • Strong knowledge of power system fundamentals, specifically distribution systems

  • Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages

  • Experience with distribution system model development, validation, and verification

  • Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources

  • Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation

  • Demonstrated experience with one or more industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, PowerFactory, EMTP, PSCAD

  • Experience applying AI, machine learning, or advanced analytics techniques to power system applications

  • Familiarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable

  • Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads

Preferred Education:

  • Bachelor's degree in a technical field or equivalent experience

  • Preferred MS or PhD in Electrical Engineering with Power System emphasis

  • Minimum 2-3 years of engineering, utility, consulting, research, or equivalent experience preferred.

Location:

  • This role is based out of our Knoxville, TN office. Remote work considered for the right candidate.

The salary range for this position is $92,000 USD to $101,000 USD annually.This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.This role is eligible to participate in EPRI's annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan.This role is eligible to participate in EPRI's standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/DisabledTogether . . . Shaping the Future of Energy.www.epri.com

Apply