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Fintech Data Science Jobs in Atlanta, GA (NOW HIRING)

Monitise

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Partner with data scientists to productionize machine learning models, analytical features ...

Fiserv, Inc.

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Partner with data scientists to productionize machine learning models, analytical features ...

Intuit

Staff AI Scientist

Atlanta, GA · On-site

D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related ... Relevant work experience in fintech credit risk, with deep understanding of payment systems, money ...

Intuit

Staff AI Scientist

Atlanta, GA

D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related ... Relevant work experience in fintech credit risk, with deep understanding of payment systems, money ...

Intuit

Staff AI Scientist

Atlanta, GA · On-site

D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related ... Relevant work experience in fintech credit risk, with deep understanding of payment systems, money ...

Scalable Systems

AI Program Manager

Atlanta, GA · On-site

... product, data science, engineering, cloud, cybersecurity and architecture teams to deliver AI ... fintech is preferred. • PMP/Agile/Cloud/AI certifications are desirable. Scalable Systems is an ...

New

LiveMindz

AI Program Manager

Atlanta, GA · On-site

... product, data science, engineering, cloud, cybersecurity and architecture teams to deliver AI ... fintech is preferred. • PMP/Agile/Cloud/AI certifications are desirable. Skills: Program ...

New

Monitise

AI Engineer

Alpharetta, GA · On-site

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way ... Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering ...

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All JobsFintech Data Science JobsFintech Data Science Jobs in Atlanta, GA

Fintech Data Science information

See Atlanta, GA salary details

$36.1K

$118K

$189K

How much do fintech data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for fintech data science in Atlanta, GA is $118,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a fintech data scientist?

A Fintech Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to solve problems and create value within the financial technology (fintech) industry. They work with large amounts of financial data to develop predictive models, detect fraud, assess risk, and optimize financial products or services. Their expertise combines knowledge of finance, programming, and advanced analytics to help fintech companies make data-driven decisions and innovate in areas such as payments, lending, and investment. Fintech Data Scientists often collaborate with engineers, product managers, and business stakeholders to deliver actionable insights that drive business growth.

What are the key skills and qualifications needed to thrive as a fintech data scientist?

To thrive as a Fintech Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, cloud computing platforms, and experience with financial data modeling or relevant certifications are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills that set top professionals apart. These skills and qualities are vital for extracting actionable insights from complex financial data, driving innovation, and ensuring regulatory compliance in the fast-evolving fintech industry.

How do fintech data scientists typically collaborate with product and engineering teams to develop new financial products?

In fintech, data scientists often work closely with product managers and engineering teams throughout the lifecycle of a financial product. They analyze user data and market trends to provide actionable insights during the product design phase, and collaborate with engineers to implement machine learning models into the product infrastructure. Regular cross-functional meetings and agile workflows are common, allowing data scientists to iterate on models based on feedback and evolving requirements. This collaborative environment ensures that data-driven solutions are robust, scalable, and aligned with business goals.

What is the difference between Fintech Data Science vs Fintech Data Analyst?

AspectFintech Data ScienceFintech Data Analyst
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and basic analytics
CertificationsData Science certifications, programming coursesData analysis or business intelligence certifications
Work EnvironmentDeveloping models, algorithms, and predictive analyticsData reporting, dashboards, and data cleaning
Industry UsageCreating predictive models for risk, fraud detection, and customer insightsGenerating reports, supporting decision-making with data

Fintech Data Science involves building complex models and applying machine learning techniques, requiring advanced skills and certifications. Fintech Data Analysts focus on interpreting data, creating reports, and supporting business decisions with less technical complexity. Both roles are essential in the fintech industry but differ in technical depth and responsibilities.

Is data science good for fintech?

Data science is highly valuable in fintech, as it enables the development of algorithms for risk assessment, fraud detection, and personalized financial services. Fintech companies often rely on data analysis, machine learning, and statistical modeling to improve decision-making and customer experience. Skills in programming, data manipulation, and financial knowledge are essential for data scientists in this field.

Is fintech data science a high paying career?

Fintech data science is generally a high-paying career due to the demand for advanced analytics and machine learning skills in financial technology companies. Salaries often depend on experience, education, and technical expertise in tools like Python, R, and SQL, with senior roles earning significantly more. The field offers competitive compensation compared to many other data science roles across industries.

What are popular job titles related to Fintech Data Science jobs in Atlanta, GA?

For Fintech Data Science jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Fintech Data Science jobs in Atlanta, GA look for?

The top searched job categories for Fintech Data Science jobs in Atlanta, GA are:

Fintech Data Science jobs near you
Infographic showing various Fintech Data Science job openings in Atlanta, 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,028 per year, or $56.7 per hour.

Senior Payments Data Optimization Analyst

Optimized Payments

Atlanta, GA • On-site

$82K - $104K/yr

Full-time

Retirement, PTO

Re-posted 10 days ago

Job description

Who are we?
Optimized Payments is the only fintech firm purpose-built to find and unlock value wherever it resides in our portfolio's payment ecosystem. We've assembled a team with deep expertise across payments specialties to develop a proprietary analytics platform that finds actionable insights. We are an Atlanta based 17-year-old, and growing, company looking for talented individuals who want to grow with us.
Our client portfolio includes Fortune 500 firms such as Apple, Staples, Safeway, Priceline, AutoNation, and the U.S. Postal Service.
Who are you?
Are you a strategic mastermind and part organizational guru looking to join a fintech? Look no further! Optimized Payments is seeking a highly motivated and experienced Senior Payments Data Optimization Analyst to join our growing team.
OP is seeking an innovative and dedicated individual committed to both serving our customers and having fun! Driven, with an entrepreneurial spirit and a heart for fintech. We're looking for someone who wants to make a significant impact on the Company, Clients, and your Career. At Optimized Payments, our people embrace these qualities, so if this sounds like you then please read on!
The Role:
The Senior Payments Data Optimization Analyst serves as the technical business liaison between Optimized Payments' consulting team and internal Data Engineering and Data Science partners. The role focuses on transaction-level data, aggregated data, reporting accuracy, and performance optimization across our client base.
Approximately 75% of the role partners with technical teams on data quality, analytics, and optimization initiatives, with 25% supporting client-facing insights and consulting discussions across platforms such as Fiserv, Chase, Stripe, Adyen, Worldpay, etc.
While this is a hybrid position based in Atlanta, you will have the opportunity to work remote primarily.
Responsibilities:
Data Quality, Normalization & Governance
  • Identify, track, and escalate data discrepancies or integrity issues impacting analytics, KPIs, client reporting, and analysis.
  • Support data normalization efforts of authorization, clearing, settlement, and fee data across multiple processors, gateways, and client data sources.
  • Partner with data engineering teams to define data requirements, schemas, and transformation logic for payment analytics requirements and improve data pipelines.
  • Contribute to and maintain documentation of data definitions, KPI logic, and calculation methodologies.
  • Assist in maintaining consistent reporting standards and governance controls across clients.
  • Validate reporting outputs and ensure alignment between source transaction data and downstream dashboards.
  • Review source-to-target mappings, schemas, and transformations to ensure accuracy of downstream reporting.

Payments Performance & Optimization
  • Analyze transaction, authorization, decline, fee, and network data to identify optimization opportunities for existing clients.
  • Monitor and report on key payments KPIs (e.g., authorization rates, interchange impact, routing performance, fraud indicators).
  • Develop data-driven recommendations to improve payments performance and reduce cost for our clients.
  • Support testing and performance initiatives for clients (e.g., routing strategies, retry logic, tokenization adoption, configuration changes).
  • Quantify impact of optimization initiatives and track performance over time.

Client Support & Insights
  • Prepare client-facing reporting and performance summaries using our proprietary analytics platform.
  • Translate complex payment and operational data into clear, actionable recommendations.
  • Support consulting discussions with analytical context, benchmarking, and scenario modeling.

Cross-Functional Collaboration
  • Partner with Technology, Data Engineering, Product, and Client teams to implement and measure optimization initiatives.
  • Help define business requirements for reporting enhancements and data improvements.
  • Document findings, assumptions, and measurable outcomes of optimization efforts.

Skills and Qualifications:
  • Bachelor's degree in a related field such as Finance, Statistics, Economics, or Computer Science.
  • 3-5 years of experience in payments, analytics, finance, consulting, or related field.
  • Experience with card payments, interchange, authorization strategies, or network data is required.
  • Strong analytical skills and experience working with large datasets.
  • Proficiency in SQL and experience with BI tools (e.g., Tableau, Power BI, Looker).
  • Ability to communicate insights clearly to both technical and non-technical stakeholders.
  • Strong attention to detail and structured problem-solving approach.
  • Knowledge of credit card scheme regulations, disputes, and chargeback processes.
  • Familiarity with payment gateways, processors, or fraud tools, including cross-border and local payment methods.
  • Deep understanding of how these systems interconnect and the resulting impact on credit card payment success.
  • Understanding of A/B testing or performance experimentation frameworks.

What we offer:
For Full-time Optimized Payments employees, we're offering the following benefits and perks
  • Competitive salary and benefits package.
  • Stock Options
  • 401(K) Plan
  • Generous PTO + Paid Holidays
  • Opportunity to be part of a dynamic, fast-growing company that will double in size in two years.
  • Hybrid work environment with flexibility to work from home 3 days a week.
  • A collaborative and inclusive company culture where your ideas are valued.
  • Free onsite covered parking and access to a full gym with showers.

Employment Equity
Optimized Payments strongly supports equal employment opportunity for all applicants regardless of race, color, religion, sex, gender identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, sexual orientation, genetic information, or any other characteristic protected by provincial and/or federal law. Accommodations for candidates with disabilities are available on request during all aspects of the recruitment and selection process. If accommodation is needed during the recruitment and selection process, please contact us and we will work with you to meet your accessibility needs.

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