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

RELX

Data Discovery and Enrichment Expert II

Alpharetta, GA · On-site +1

$71.60K - $119.40K/yr

Candidate can be hybrid from one of our offices or remote in the US. Responsibilities * Assist in ... Collaborate with cross-functional teams, including data science, product, market planning ...

Atlanta Regional

Data Analyst, Senior

Atlanta, GA · On-site +1

$64.67K - $87.30K/yr

Regular Full-Time Remote Employment: Flexible/Hybrid Office: Office of the Chief Research ... Bachelor's degree in Economics, Data Science, Geosciences, Geography, Urban or Regional Planning ...

IQVIA

Lead Clinical Data Manager (Remote)

Atlanta, GA · Remote

$68.50K - $217.10K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

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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 the most commonly searched types of Data Science jobs in Decatur, GA? The most popular types of Data Science jobs in Decatur, GA are:
What are popular job titles related to Remote Data Science jobs in Decatur, GA? For Remote Data Science jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Decatur, GA look for? The top searched job categories for Remote Data Science jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Data Science jobs? Cities near Decatur, GA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Decatur, GA as of May 2026, with employment types broken down into 69% Full Time, 26% Part Time, and 5% Contract. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution.
Data Discovery and Enrichment Expert II

Data Discovery and Enrichment Expert II

RELX

Alpharetta, GA • On-site, Remote

$71.60K - $119.40K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About the Role

We are seeking aData Discovery and Enrichment Expertto help architect and maintain our governance infrastructure. In this role, you willhelp to design and implement the policies and procedures that ensure our internal teams remain aligned withResponsible AIstandards across the product workflow. You will partner directly withproduct,engineering,operations, anddata scienceteams to unify our systems and infrastructure, fostering seamless cross-functional collaboration and technical alignment.

Candidate can be hybrid from one of our offices or remote in the US.

Responsibilities

  • Assist in the development and implementation of model risk policies and procedures.Enhance these functions.

  • Help to ensure compliance with regulatory requirements and internal risk management standards. and the RELX Responsible AI Principles.

  • Collaborate with cross-functional teams, including data science, product, market planning, technology and legal and compliance.

  • In partnership with cross-functional teams, help to co-design and implement a unified framework that provides clear, actionable guidance for model development, validation, and risk mitigation-embedding these standards naturally into the product lifecycle from initial ideation through to go-to-market delivery.

  • Assist with the quarterly reviews and audits of models to identify and address potential risks.

  • Stay current with industry trends, global regulatory changes, and best practices in model risk management.

Requirements

Preferred Qualifications:

  • Awareness of data science methods and techniques, though not necessarily in expert in their use.

  • Knowledge of regulatory requirements and industry standards, especially FCRA, ECOA, GLB, EU-AI Act, GDPR. Ability to scale up to support other global regulations

  • Excellent problem-solving, and decision-making skills.

  • Strong communication and interpersonal skills, with the ability to collaborate effectively with internal/external stakeholders including customers and regulators at all levels.

  • While Data Science Expertise isn't required, a basic understanding of statistical modeling in banking and insurance is a plus,.

  • Experience working with data scientists, customers and regulators

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

- In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice.

U.S. National Base Pay Range: $71,600 - $119,400. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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