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

Senior Product Manager

Atlanta, GA ยท On-site

$140 - $180/hr

... data, behavioral signals, and customer lifecycle metrics. * Build a multi-year roadmap for data science and machine learning capabilities (prediction, segmentation, attribution, spend optimization ...

Marketing Science * Digital Analytics * Data Products * Decision Science * Executive Storytelling ... customer behavioral data. * Provides support to multiple departments to ensure that business ...

Marketing Science * Digital Analytics * Data Products * Decision Science * Executive Storytelling ... customer behavioral data. * Provides support to multiple departments to ensure that business ...

... behaviors, model performance, and operational health. * Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the ...

... behaviors, model performance, and operational health. * Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the ...

Principal Data Scientist - CX Analytics

Atlanta, GA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you will drive applied data science work that goes beyond modeling-mining structured ... behavior, or identify risk through scoring or clustering. Efficiently interpret results and ...

Data Scientist II - CX Analytics

Atlanta, GA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In this role, you will focus on executing applied data science work-running analyses, supporting ... behavior, or identify risk through scoring or clustering. Efficiently interpret results and ...

Data Scientist Sr Lead

Atlanta, GA ยท On-site

$120 - $180/hr

... behaviors, model performance, and operational health * Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the organization

Data Scientist

Atlanta, GA

  • Medical

  • Retirement

  • PTO

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... behavior * Worksclosely withApplication Engineering teams to gather and process data,as well as in ...

Data Scientist

Atlanta, GA ยท On-site

  • Medical

  • Retirement

  • PTO

Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ... behavior * Worksclosely withApplication Engineering teams to gather and process data,as well as in ...

Decision Scientist III

Atlanta, GA

$86K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... behavioral sciences, the incumbent will support consultative partnerships, aligning with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven ...

Decision Scientist III

Atlanta, GA ยท On-site

$104K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... behavioral sciences, the incumbent will support consultative partnerships, aligning with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven ...

This is a highly hands-on individual contributor role for an experienced data scientist who has ... behavior, and assess strategic scenarios. Success in this role requires the ability to translate ...

Showing results 21-40

Behavioral Data Science information

What can I do with a behavioral data science degree?

A behavioral data science degree prepares individuals for roles such as data analyst, behavioral scientist, or user experience researcher, focusing on analyzing human behavior through data. Graduates often work with statistical tools, programming languages like Python or R, and data visualization software to inform decision-making in marketing, product development, or healthcare. These roles typically require strong analytical skills and understanding of psychological or social science principles.

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 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.

Is behavioral data science in high demand?

Behavioral data science is in high demand as organizations seek to understand human behavior through data analysis, machine learning, and statistical modeling. Professionals with skills in programming, data visualization, and behavioral psychology are especially sought after across industries such as marketing, healthcare, and finance.

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.

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:

Infographic showing various Behavioral Data Science job openings in Atlanta, GA as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution.

Senior Product Manager

Socket.dev

Atlanta, GA โ€ข On-site

$140 - $180/hr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job Title: Senior Product Manager โ€“ Technical (PMT)

Location: Atlanta , GA

Job Type: w2 Contract Position

Role SummaryKey ResponsibilitiesData & AI Product Strategy
  • Define the long-term strategy for an AI-driven insights platform leveraging media data, transaction data, behavioral signals, and customer lifecycle metrics.
  • Build a multi-year roadmap for data science and machine learning capabilities (prediction, segmentation, attribution, spend optimization, LTV modeling).
  • Identify opportunities where AI/ML can enhance targeting, personalization, and predictive accuracy to boost cardholder acquisition and spend.
Data Science & Modeling Leadership
  • Partner closely with data science teams to design, prioritize, and validate models including:
  • o Media effectiveness models
  • o Propensity & acquisition models
  • o Customer journey prediction
  • o Incrementality & attribution models
  • o Spend forecasting and segmentation
  • Translate abstract statistical concepts into clear, impactful product capabilities.
Data Platform & Architecture
  • Lead product development for a robust data platform integrating multi-source media data, transaction-level signals, customer behavior, and third-party data enrichments.
  • Define requirements for data pipelines, model ops workflows, feature stores, and governance.
Visualization & Insight Experience
  • Drive the design of intuitive, interactive visualizations that simplify massively complex data into clear recommendations.
  • Collaborate with design and engineering to craft dashboards, attribution visualizations, and decision-support tooling.
  • Ensure insights are actionable, narrative-driven, and designed for both analysts and executives.
Insight-Driven Growth Capabilities
  • Build products that surface:
  • o Optimal media investment allocations
  • o Audiences most likely to convert or increase spend
  • o Campaign opportunities tied to transaction patterns
  • o Spending gaps, growth levers, and cross-sell/upsell signals
  • Partner with business teams to align modeling capabilities with acquisition and spend growth strategies.
Execution & Cross-Functional Leadership
  • Own PRDs, technical specifications, and backlog prioritization.
  • Lead cross-functional squads including engineering, ML/AI, data platform, design, analytics, marketing, and partnerships.
  • Drive high-judgment decisions in ambiguous problem spaces.
Stakeholder & Customer Engagement
  • Engage with enterprise marketing teams, analysts, and partners to understand needs and validate product direction.
  • Serve as the expert on how media and transaction insights drive ROI, spend, and new cardholder acquisition.
  • Communicate vision, strategy, and results to senior executives.
Required Qualifications
  • 10+ years of product management experience with significant time spent in ML/AI, analytics, data platforms, or growth insights products.
  • Strong technical fluency across data science, model development, model evaluation, and data engineering.
  • Experience working with large-scale transaction or behavioral data (e.g., financial, retail, e commerce, advertising).
  • Deep understanding of media measurement, attribution, and marketing analytics ecosystems.
  • Demonstrated success building insight-driven products that deliver measurable business outcomes.
  • Exceptional ability to translate technical complexity into intuitive product experiences.
Preferred Qualifications
  • Prior experience in payments, fintech, marketing tech, media measurement, or consumer analytics.
  • Hands-on familiarity with ML lifecycle tools (feature stores, MLOps, model monitoring).
  • Experience building interactive analytics dashboards or visualization systems.
  • Comfort with SQL, basic data exploration, or prior engineering/analytics experience.
  • Strong storytelling and executive communication skills.
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