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

Integrated Resources INC

Case Manager

Alpharetta, GA · Remote

$19.50 - $25.25/hr

Collects and analyzes utilization data. Assists with discharge planning and ambulatory follow up ... The Alpharetta, GA candidate will also have the ability to work remote. This is an inbound ...

Apex Companies

Industrial Hygienist

Alpharetta, GA · On-site +1

Remote opportunity for experienced Industrial Hygienists in the Atlanta area! This role offers the ... Gather, analyze, and interpret data. * Preparation of Scope of Work and Draft Technical Reports

Perficient, Inc.

Appian Architect

Alpharetta, GA · Remote

This is a remote opportunity, must be located in United States. As an Appian Architect you will ... Solid foundation in Computer Science, with strong competencies in data structures, algorithms and ...

Kaleris

Software Engineer

Alpharetta, GA · Remote

Solid experience with PostgreSQL - writing queries, analyzing execution plans, and resolving data ... international remote teams * Bachelor's degree in Computer Science or a related field, or ...

NV5

Project Archaeologist

Alpharetta, GA · On-site +1

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... The archaeologist will conduct research, field surveys, and data recovery initiatives to assist in ...

UnitedHealth Group

Implementation Consultant

Alpharetta, GA · On-site +1

$72K - $130K/yr

OptumInsightis improving the flow of health data and information to create a more connected system ... Bachelor's Degree in Computer Science, Health Sciences, or Education; and/or Certified Radiology ...

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Remote Data Science information

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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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 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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
What cities near Jasper, GA are hiring for Remote Data Science jobs? Cities near Jasper, GA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Jasper, GA as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Python Engineer Manager (Actuarial)

Python Engineer Manager (Actuarial)

Kemper

Alpharetta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Location(s)

Alpharetta, Georgia, Remote-CT

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Summary
Kemper Auto is seeking a highly skilled Resident Actuarial Engineer Manager to integrate solution development and data engineering practices within actuarial processes. This role bridges actuarial science, solution development, and advanced data engineering, ensuring data-driven decision-making is enabled through an ecosystem of capabilities built in seamless collaboration with the actuarial team. The ideal candidate will oversee the development, maintenance, and implementation of data-driven pricing strategies for personal and commercial auto insurance products, ensuring the accurate, actionable use of data to drive our business forward.

Responsibilities

  • Leadership: Lead a team of engineers, fostering a culture of innovation, collaboration and professional growth while delivery of high-quality analyses. Oversee the development of scalable data solutions, ensuring data accuracy, availability, and integrity, and implement cloud-based strategies tailored to actuarial needs.
  • Actuarial Solution Development: Develop and maintain a suite of actuarial capabilities, inclusive of processes for portfolio re-rating to better understand the impact of proposed changes and expected performance. Develop solutions using Python in a cloud-based ecosystem.
  • Actuarial Data Support: Collaborate with the actuarial team to provide solutions for pricing through advanced analytics and automation tools, ensuring alignment with actuarial methodologies and business requirements. Work closely with data solutions teams to ensure that data is structured for consumption by the actuarial team and that actuarial data requirements are fully articulated. Ensures that data is ingested into the actuarial ecosystem in a governed and controlled fashion.
  • Innovation and Optimization: Drive advanced analytics adoption to improve actuarial processes, optimize data workflows, identify and resolve inefficiencies in current operations to enhance team productivity. Develop scalable programming solutions, and implement data strategies that align with organizational objectives and key performance indicators (KPIs). Automate and streamline processes to improve efficiency and accuracy.
  • Data Governance & Compliance: Establish and enforce data governance protocols to ensure compliance with regulatory standards, safeguard data security and maintain accuracy and integrity by adhering to industry and actuarial best practices.
  • Collaboration: Work closely with the actuarial team to align data and pricing strategies with business objectives. Recognizing potential system opportunities or issues during data analysis and communicating them to business technology partners as needed. Provide training and support to team members and stakeholders to understanding and adoption of pricing technologies.

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Data Analytics or a related field.
  • 5+ years of experience in solution or data engineering, data analysis or a similar role Proven experience in managing technical team and mentoring.
  • 3+ years experience in Python development, with experience creating python-based applications utilizing clean code techniques.
  • SAS proficiency is a plus
  • Test-driven development experience is a plus
  • Experience with Amazon SageMaker is a plus
  • Knowledge of data manipulation techniques and data ingestion patterns.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
  • Proficiency working with data visualization tools such as Tableau and Power BI.
  • Experience working in an actuarial or research field in a data engineering role supporting advanced analytics
  • Familiarity with actuarial principles, insurance data structures, regulatory requirements and reporting standards.
  • Strong analytical problem-solving and critical thinking skills with a results-oriented mindset.
  • Excellent written and verbal communication skills with ability to translate business needs into technical solutions.
  • Proven track record of delivering large-scale data-driven projects.

What We Offer

  • Competitive salary and benefits package.
  • Opportunities for professional growth.
  • A dynamic work environment at the intersection of data engineering and actuarial science.

This role offers the opportunity to innovate, lead, and redefine how data is leveraged in the actuarial domain. Join us to shape the future of actuarial data engineering!

The range for this position is $99,000 to $164,800. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is also eligible for our Kemper benefits package (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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