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

Must have a Bachelor's degree in Data Science, Analytics, Statistics, Finance or related quantitative field * Must have 3 years of experience in analytics or research positions performing/utilizing ...

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 ...

Data Engineer (Fully Remote)

Atlanta, GA · On-site +1

$150K - $165K/yr

If warranted, the next step would be a video interview with our Principal Data Scientist for forty ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

GenAI Systems Developer

Atlanta, GA · Remote

$185K - $215K/yr

Data Science Mindset: While this is not a data science position, you must demonstrate the ability ... Remote-First Team: Operate from anywhere in the continental U.S., with limited in-person client ...

Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate ... Scientific Data Interpretation * Evidence-Based Reasoning * Technical Documentation Qualifications

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Understands virtual and remote management best practices. * Experience with cloud data and AI ... Master's degree in Business, Information Technology, Data Sciences or Analytics, or other related ...

Showing results 41-60

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.

What are the most commonly searched types of Data Science jobs in Suwanee, GA?

The most popular types of Data Science jobs in Suwanee, GA are:

What are popular job titles related to Remote Data Science jobs in Suwanee, GA?

For Remote Data Science jobs in Suwanee, GA, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Suwanee, GA look for?

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

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

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

Infographic showing various Remote Data Science job openings in Suwanee, GA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Decision Scientist II

Truist

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Truist rating

7.9

Company rating: 7.9 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

77th of 175 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:
  • Act as an individual contributor supporting analytics projects and executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, will work both independently and with internal teammates to produce analytic insights that help the Line of Business (LOB) make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.
  • Focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products.
  • Partner on target initiatives as assigned; work independently and with internal teammates to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
  • Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.
  • Explore and apply tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.
  • Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
  • Foster communication and partnership across multiple levels of the organization including engagement with LOB contributors and junior-level managers.

Requirements

  • Must have a Bachelor's degree in Data Science, Analytics, Statistics, Finance or related quantitative field
  • Must have 3 years of experience in analytics or research positions performing/utilizing the following:
    • Performing quantitative analysis and data analytics
    • Statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
    • Data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment.
    • Data Analysis techniques, EDA, Data Visualization to effectively communicate to stakeholders, clarify requirements and make effective suggestions.
    • Data Engineering and ML-Ops to both effectively extract, transform, load the data and for further model deployment, including model maintenance and operation.
    • Working knowledge of transaction processing application software, application processing systems, and collection inventory systems
    • Performing in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
    • Connecting to practical application, providing recommendations on target initiatives, with a strong bias to action and focus on quantifiable business impact
    • Delivering insights against tight deadlines in a collaborative environment to drive maximum impact
    • Applying knowledge in statistical and analytical principles, tools, and techniques
    • Natural Language Processing techniques and other related Deep Learning knowledge.
    • Utilizing knowledge and experience with: IBM DB2 and Oracle, SAS, SQL, Toad, R, Python, SAS E-Miner, Data visualization and BI tools including Tableau and MicroStrategy, and Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)
  • Position may be eligible to work hybrid/remotely but is based out of and reports to Truist offices in Atlanta, GA. Must be available to travel to Atlanta, GA regularly for meetings and reviews with manager and project teams within 24-hours' notice.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

EEO is the Law E-Verify IER Right to Work


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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019