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Data Science Manager Jobs in Dacula, GA (NOW HIRING)

Senior Data Science Analyst

Atlanta, GA ยท On-site

$82K - $104K/yr

Client Data Management * Intake and validate client outcome data (performance, retention, hiring ... Collaborate with Data Scientists on methodology refinement and framework improvements * Support ...

Our data science teams also embrace staying current with the evolving data science landscape ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Contributes to the strategic direction of the data science function within the organization. * Presents insights and findings to upper management, recommending improvements to data strategy and ...

Manage and direct data science team to accomplish technical goals and develop data insights * Provides guidance and supervision to Data Scientists on data science best practices and Novelis data ...

Manage and direct data science team to accomplish technical goals and develop data insights * Provides guidance and supervision to Data Scientists on data science best practices and Novelis data ...

The Senior Manager, Data Science provides leadership to professional staff focused on a narrow range of work within a function (i.e., a job family) Is accountable for the performance and results of ...

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

Experience in FinTech, banking, payments, retail cash management, or operations * Experience identifying high-value data science opportunities in operational businesses * Hands-on LLM development ...

You will collaborate with Product Management and Engineering teams to translate business requirements into data science solutions, mentor junior data scientists, and drive Neptune's AI transformation ...

This role reflects a seasoned, fully qualified data science professional with wideranging ... management and crossfunctional leadership Independently assess complex situations, evaluate ...

Showing results 21-40

Data Science Manager information

See Dacula, GA salary details

$28.5K

$89.4K

$158.3K

How much do data science manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data science manager in Dacula, GA is $89,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $115,500.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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

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

What cities near Dacula, GA are hiring for Data Science Manager jobs?

Cities near Dacula, GA with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Dacula, GA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $89,386 per year, or $43 per hour.

Senior Data Science Analyst

Harver

Atlanta, GA โ€ข On-site

$82K - $104K/yr

Full-time

Re-posted 14 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.