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Remote Data Science Jobs in Thomasville, GA (NOW HIRING)

Co-op Solutions

Data Architect - REMOTE

Tallahassee, FL · Remote

$110K - $143K/yr

Bachelor's Degree in CIS, Data Science, Data Analytics or related field preferred or equivalent combination of education and experience required. * Seven (7) years of working in a data function or ...

First Citizens Bank

Lead Data Engineer

Tallahassee, FL · Remote

$108K - $130K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida. We are seeking an experienced Lead Data Engineer to join our Data ...

First Citizens Bank

Lead Data Engineer

Tallahassee, FL · Remote

$108K - $130K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida. We are seeking an experienced Lead Data Engineer to join our Data ...

First Citizens Bank

Data Engineer II

Tallahassee, FL · On-site +1

$108K - $130K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

First Citizens Bank

Data Engineer II

Tallahassee, FL · On-site +1

$108K - $130K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking a motivated Data Engineer II to join our Data Platform ...

micro1 AI

Pharmacovigilance Expert

Tallahassee, FL · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

micro1 AI

Clinical Pharmacy Technicians

Tallahassee, FL · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

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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 Thomasville, GA look for?

The top searched job categories for Remote Data Science jobs in Thomasville, GA are:

What cities near Thomasville, GA are hiring for Remote Data Science jobs?

Cities near Thomasville, GA with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Thomasville, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Data Scientist Contractor (1099)

WiredPeople, Inc.

Tallahassee, FL • On-site, Remote

Contractor

Re-posted 4 days ago

Job description

WiredPeople is looking for a senior-level Data Scientist who can operate independently to drive advanced statistical modeling, complex analytics, and research initiatives. The ideal candidate brings a unique blend of deep technical expertise, strategic consulting experience, and a proven track record of working directly with external clients, particularly government stakeholders.
In this role, you will provide analytical leadership, define technical approaches, and translate highly complex data into actionable insights for non-technical audiences. Experience working with healthcare, public health, research, or government-related data projects is highly desirable. We are currently seeking a highly skilled Senior Data Scientist Contractor (1099) to join our network and support complex analytics and research projects for our clients.
Key Responsibilities
  • Analytical Leadership: Independently define analytical approaches, design research methodologies, and provide strategic recommendations to stakeholders.
  • Advanced Statistical Modeling: Develop, validate, and productionize machine learning models, utilizing techniques such as predictive modeling, Random Forest, Bayesian hierarchical modeling, and geospatial analysis.
  • Client Consulting: Work directly with external clients and government stakeholders to understand project needs, manage expectations, and deliver high-quality data science solutions.
  • Data Translation: Effectively present complex technical findings, methodologies, and actionable insights to non-technical stakeholders and decision-makers.
  • Data Management & Pipeline Development: Oversee ETL/ELT pipeline development, ensuring robust data governance, access controls, and secure handling of sensitive health and regulated datasets.
  • Technical Execution: Utilize an advanced technology stack, including Azure Databricks, R, and SQL, to build and deploy scalable data science solutions.

Must-Have Qualifications
  • Cloud & Architecture: Intermediate to Advanced experience in Microsoft Azure, specifically Azure Databricks.
  • Programming: Advanced proficiency in R and strong SQL and database management experience.
  • Machine Learning: Proven experience with ML techniques, including predictive modeling and Random Forest.
  • Data Security & Ethics: Experience handling sensitive health, research, or highly regulated datasets. Must hold a current CITI Certification (or have the ability to quickly obtain one).
  • Development Tools: Advanced R Shiny experience and familiarity with GitHub and CI/CD pipelines (highly preferred).

Preferred Senior-Level Experience
  • Education: PhD or extensive applied Data Science experience in a related field.
  • Advanced Modeling: Deep expertise in Bayesian hierarchical modeling, spatial/geospatial modeling, model validation, and advanced statistical analysis.
  • Industry Experience: Prior consulting experience with external clients, particularly supporting government or public-sector clients.

Technical Environment Candidates with hands-on experience in the following technical areas will stand out:
  • Cloud Platform: Azure Databricks
  • Data Warehousing: Snowflake, PostgreSQL, or similar data warehouse environments
  • Data Engineering: ETL/ELT pipeline development
  • Databases: Relational and NoSQL databases
  • Data Management: Data governance and strict access controls
  • MLOps: Productionizing and deploying machine learning models

Additional Information
  • Job Type: Contract (1099)
  • Industry Focus: Healthcare, Public Health, Government Services

WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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