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

NLB Services

Data Product Leader

Atlanta, GA · On-site

... behavior, ensuring data accuracy and timeliness. • Collaborate with cross-functional teams to ... Required : • Proven experience or a degree in a related field, such as Data Science, Statistics ...

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Senior Data Scientist

Atlanta, GA · On-site

$92 - $95/hr

Job Title Senior Data Scientist Location Atlanta, GA, and various and unanticipated locations ... provider behavior and stratify social risk. Qualifications * Bachelor's degree or foreign ...

Ticket Evolution

Marketplace Data Analyst

Atlanta, GA · On-site

Deliver recurring and ad-hoc reporting on KPIs, revenue trends, and customer behavior * Maintain a ... Bachelor's degree in Business, Finance, Economics, Statistics, Data Science, or a related field

Victory Live

Marketplace Data Analyst

Atlanta, GA · On-site

Deliver recurring and ad-hoc reporting on KPIs, revenue trends, and customer behavior * Maintain a ... Bachelor's degree in Business, Finance, Economics, Statistics, Data Science, or a related field

Kforce Technology Staffing

Product Manager V

Atlanta, GA · On-site

... behavioral design, and growth UX, with an ability to make product value clearer, more accessible, and easier for customers to realize * Experience partnering closely with Data Science and Analytics ...

Monitise

Senior Data & ML Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Partner with data scientists to productionize machine learning models, analytical features ... Experience working with merchant, product, application, transaction, or behavioral datasets.

Stord, Inc.

Director of Decision Science

Atlanta, GA · On-site

... behavior, warehouse operations, and parcel networks. You'll turn that data into a competitive advantage: owning the path from raw data to production model to adopted business decisions, not just ...

Stord

Director of Decision Science

Atlanta, GA · On-site

... behavior, warehouse operations, and parcel networks. You'll turn that data into a competitive advantage: owning the path from raw data to production model to adopted business decisions, not just ...

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Behavioral Data Science information

What is behavioral data science?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What types of projects or problems do behavioral data scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.

What are the key skills and qualifications needed to thrive in behavioral data science, and why are they important?

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

Is behavioral data science in high demand?

Behavioral data science is in high demand across industries such as marketing, finance, and technology due to its focus on understanding human behavior through data analysis and machine learning. Professionals with skills in statistical modeling, programming, and behavioral psychology are sought after as organizations leverage data-driven insights to improve decision-making and user experience.

What does a behavioral data scientist do?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning, and data visualization tools to interpret complex datasets and often work with psychology, marketing, or product teams to improve user engagement and outcomes.

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

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

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

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

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

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

Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 86% Full Time, 5% Part Time, and 9% Contract. Highlights an 86% In-person, 9% Hybrid, and 5% Remote job distribution.

Data Engineer / Data Scientist in Atlanta

NLB Services

Atlanta, GA • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
NLB Services is a company focused on data solutions, and they are seeking a Data Engineer / Data Scientist to analyze complex datasets and develop data pipelines. The role involves collaborating with various teams to implement data-driven solutions and utilize machine learning models for fraud detection and transaction analytics.
Responsibilities:
• Analyze large and complex datasets to identify trends, insights, and business opportunities within the payment domain.
• Develop, optimize, and maintain data pipelines to support business intelligence and analytics.
• Work extensively with Aurora DB (MySQL/PostgreSQL) for data modeling, querying, and performance tuning.
• Design and implement scalable data architectures, ensuring data integrity and security.
• Collaborate with data analysts, software engineers, and business teams to define data-driven solutions.
• Implement machine learning models to enhance fraud detection, transaction analytics, and customer behavior analysis.
• Automate data ingestion, transformation, and storage processes using ETL frameworks.
• Utilize cloud platforms (AWS, GCP, or Azure) for data engineering and storage solutions.
• Monitor data quality, identify anomalies, and improve data accuracy.
• Stay updated on industry trends, particularly in payments domains, fintech, and emerging data technologies.
Qualifications:
Required:
• 3-6 years of experience as a Data Engineer/Data Scientist, preferably in the payment domain industry.
• Strong expertise in Aurora DB (MySQL/PostgreSQL) – schema design, indexing, query optimization, and performance tuning.
• Proficiency in SQL and database management.
• Hands-on experience with Python, R, or Scala for data processing and analysis.
• Experience with ETL frameworks and data pipeline development.
• Familiarity with Big Data technologies (e.g., Spark, Hadoop, Kafka) is a plus.
• Cloud experience in AWS, GCP, or Azure, particularly in data storage and processing.
• Strong analytical and problem-solving skills with experience in predictive modeling and statistical analysis.
• Knowledge of fraud detection, transaction processing, or risk analytics in payments is highly desirable.
• Experience working with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Ability to communicate insights and recommendations to stakeholders effectively.
Preferred:
• Certifications in AWS Data Engineering, Big Data, or Machine Learning are a plus.
Company:
NLB Services is a fast growing consulting, analytics and digital transformation company. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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