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Director Data Analyst Machine Learning Jobs in Suwanee, GA

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition ... Self-directed work style with ability to manage multiple client projects simultaneously Preferred

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

You will work closely with AI/ML researchers, data engineers, and product teams to design ... Familiarity with anomaly detection, fraud/risk modeling, or behavioral analytics. * Contributions ...

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

We aim to create software that delivers real-time data to the entire supply chain that allows ... Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our ...

Apply advanced machine learning, predictive analytics, natural language processing (NLP), and ... Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small ...

Apply advanced machine learning, predictive analytics, natural language processing (NLP), and ... Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small ...

As the Director of Predictive Modeling, you will serve as a senior technical expert responsible for ... machine learning, and AI techniques. * Develop end-to-end analytical solutions, from data ...

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Experience with data and analytics solution delivery that address strategic business problems

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Experience with data and analytics solution delivery that address strategic business problems

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... Data Ops variants) US Navy: CTN - Cryptologic Technician (Networks)CTI / CTR (with analytics focus ...

Machine Learning Tutor

Roswell, GA · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Showing results 21-40

Director Data Analyst Machine Learning information

See Suwanee, GA salary details

$31.6K

$76.9K

$126.6K

How much do director data analyst machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director data analyst machine learning in Suwanee, GA is $76,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,300.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

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For Director Data Analyst Machine Learning jobs in Suwanee, GA, the most frequently searched job titles are:

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The top searched job categories for Director Data Analyst Machine Learning jobs in Suwanee, GA are:

What cities near Suwanee, GA are hiring for Director Data Analyst Machine Learning jobs?

Cities near Suwanee, GA with the most Director Data Analyst Machine Learning job openings:

Senior Data Science Analyst

Harver

Atlanta, GA • On-site

$82K - $104K/yr

Full-time

Re-posted 20 days ago


Job description

About Harver
Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over 35 years of rich data insights, the company's portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair. More than 1,300 customers trust Harver to help put purpose to work.
At Harver, we are:
  • Transparent: We believe in fostering an open, honest, and accountable environment where information flows freely and clearly.
  • Collaborative: We embrace the power of collaboration and recognize that every individual brings unique strengths to the table.
  • Curious: We embrace curiosity as a driving force for continuous learning and innovation.

Job Overview:
We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune 500 clients. You'll execute predictive validity studies and outcome analyses that prove ROI for major enterprise clients across various industries.
This role focuses on the end-to-end execution of outcome studies-from client data intake and matching through analysis delivery. You'll work with established frameworks and tools while applying strong analytical thinking to translate complex data into compelling client insights.
In this role you get to:
Client Data Management
  • Intake and validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics)
  • Clean and standardize diverse data formats from enterprise HRIS and ATS systems
  • Match client candidate records with Harver assessment data with high accuracy
  • Troubleshoot data quality issues and communicate data requirements to clients
  • Document data specifications and maintain data integrity throughout analysis lifecycle

Predictive Validity & Outcome Analysis
  • Execute concurrent & predictive validity studies using established statistical frameworks
  • Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data
  • Conduct ROI analyses demonstrating business impact (cost savings, quality of hire improvements)
  • Perform disparate impact analyses to ensure assessment fairness
  • Generate client-ready reports and visualizations communicating technical findings to business stakeholders

Technical & Collaboration
  • Query and analyze data using Looker and SQL from internal databases
  • Collaborate with Data Scientists on methodology refinement and framework improvements
  • Support Client Success teams with technical questions and ad-hoc analyses
  • Maintain analysis documentation and contribute to team knowledge base
  • Present findings to internal stakeholders and client-facing teams
  • Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions
  • Identify custom solutions based on client escalations and build into repeatable process for similar issues in the future

We're looking for people who have:
  • 5+ years of experience in data analysis, preferably in HR tech, people analytics, or consulting
  • Strong proficiency in data cleaning, transformation, and quality assurance with complicated real-world datasets
  • Solid statistical foundation (regression, hypothesis testing, correlation analysis, model evaluation metrics)
  • Experience applying machine learning models as a user (model scoring, interpretation, validation)
  • Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries)
  • SQL proficiency for data extraction and transformation
  • Experience utilizing version control tools like GitHub or Bitbucket to manage collaborative repositories (e.g., Python, R, SQL), ensuring a transparent, peer-reviewed, and audit-ready data environment.
  • Strong communication skills-ability to explain technical concepts to non-technical audiences
  • Excellent attention to detail and commitment to data accuracy
  • Self-directed work style with ability to manage multiple client projects simultaneously

Preferred
  • Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating onboarding and understanding assessment validation principles)
  • Familiarity with psychometric concepts (validity, reliability)and experience evaluating adverse impact
  • Experience in HR analytics or workforce analytics
  • Experience with BI tools (Looker, Tableau, Power BI, or similar)
  • Background working with enterprise clients or in client-facing analytical roles
  • Knowledge of EEOC guidelines and employment law considerations in assessment validation

Why Join Harver:
  • Work with Fortune 500 clients on high-impact talent decisions
  • Collaborate with a senior team of data scientists and engineers
  • Contribute to cutting-edge work in AI-driven talent assessment
  • Opportunity to grow into more strategic or technical roles

Location:
Preference for candidates based on the East Coast, with strong preference for Atlanta, GA, Chicago, IL and New Jersey.
Reporting Structure:
This role reports to the Data Science Manager and works closely with a team of senior data scientists, Client Success, and Product teams.