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Data Science Leader Jobs in Georgia (NOW HIRING)

State Farm

Data Scientist

Dunwoody, GA · Hybrid

Our data science teams also embrace staying current with the evolving data science landscape ... Present on technical topics to peers, leadership, and other stakeholders, including non-technical ...

Mission Lane

Director of Data Science, Credit

Atlanta, GA · On-site

$184K - $219K/yr

Technical leadership for the data scientists building and maintaining acquisition models, setting the bar for model design, code quality, and production rigor * Model risk and monitoring practices ...

New

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Acts as a technical leader in the data science team, providing guidance and mentorship to less experienced team members. * Contributes to the strategic direction of the data science function within ...

Home Depot

Data Scientist

Atlanta, GA · On-site

... data science initiatives that drive business profitability, increased efficiencies and improved ... This role applies industry-leading analytical methodologies for working with large datasets to ...

Home Depot

Principal Data Scientist - CX

Atlanta, GA · On-site

... leading high-impact data science and AI initiatives that drive business growth, improve operational efficiency, and create better customer and associate experiences. A key focus of this role will be ...

STEMtech

Sr. Data Scientist

Atlanta, GA · On-site

Master's degree or other advanced degree in information technology, computer science, data science, or related quantitative discipline (e.g. advanced statistical analysis) * Experience leading a team ...

loomis

Data Scientist

Suwanee, GA · On-site

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...

loomis

Data Scientist

Suwanee, GA · On-site

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...

loomis

Data Scientist

Suwanee, GA · On-site

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...

loomis

Data Scientist

Suwanee, GA · On-site

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...

loomis

Data Scientist

Suwanee, GA · On-site

This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...

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Data Science Leader information

What is a data science leader?

A Data Science Leader is responsible for guiding teams in leveraging data to drive business decisions and innovation. They oversee data strategy, mentor data scientists, collaborate with stakeholders, and ensure that data-driven solutions align with company goals. Their role blends technical expertise with leadership, requiring strong skills in analytics, machine learning, and communication.

What are some common challenges faced by data science leaders, and how can they navigate them?

Data Science Leaders often face challenges such as aligning team efforts with business goals, managing diverse technical skill sets, and ensuring project stakeholders understand complex analytical insights. Balancing hands-on technical work with leadership responsibilities requires strong organizational and time management skills. Additionally, staying current with rapidly evolving tools and methodologies is essential for maintaining a team's competitive edge. Leveraging open communication, encouraging ongoing professional development, and building strong cross-functional relationships can help leaders successfully navigate these challenges.

What are the key skills and qualifications needed to thrive as a data science leader, and why are they important?

To thrive as a Data Science Leader, you need deep expertise in statistical modeling, machine learning, and data analytics, usually supported by advanced degrees in data science or related fields. Familiarity with programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and certifications such as Certified Analytics Professional (CAP) are commonly expected. Exceptional communication, strategic thinking, and team leadership skills set outstanding candidates apart. These competencies are critical for driving impactful data solutions, fostering innovation, and effectively guiding teams to deliver on business objectives.

What does a data science leader do?

A data science leader oversees data science teams, develops strategies for data analysis, and ensures the effective use of data to support business goals. They often coordinate projects, communicate insights to stakeholders, and have expertise in statistical methods, machine learning, and data management tools. Strong leadership, communication skills, and a solid understanding of data science techniques are essential for this role.

What jobs does data science leader lead to?

A data science leader typically advances to senior roles such as Director of Data Science, Chief Data Officer, or Vice President of Data. These positions involve overseeing data strategy, managing teams, and aligning data initiatives with business goals, often requiring strong leadership, technical expertise, and experience with analytics tools and programming languages like Python or R.

What are popular job titles related to Data Science Leader jobs in Georgia?

For Data Science Leader jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Science Leader jobs in Georgia look for?

The top searched job categories for Data Science Leader jobs in Georgia are:

What cities in Georgia are hiring for Data Science Leader jobs?

Cities in Georgia with the most Data Science Leader job openings:

Data Science Leader jobs near you
Infographic showing various Data Science Leader job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Pricing- Manager, Data & Analytics, Business & Operations

Marietta, GA • On-site

BlueLinx Holdings Inc.
Construction Materials Wholesalers • 1 - 5K employees
Learn more about BlueLinx Holdings Inc.external

Other

Posted 12 days ago

BlueLinx rating

5.4

Company rating: 5.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Pricing- Manager, Data & Analytics, Business & OperationsJob Description

Posted Wednesday, July 15, 2026 at 4:00 AM

Position Purpose Summary:

The Senior Data Manager (Pricing) is a hands‑on data science leader who partners with the Pricing organization to drive margin expansion, visibility, and decisioning through analytics products. This role functions as the primary data science and BI leader supporting pricing workflows, including dashboards, performance reporting, and scalable analytics tools. The Senior Data Manager leads by influence across stakeholders, establishes analytic standards, and ensures pricing teams have reliable, actionable insights—especially through Power BI solutions and Python-based data pipelines.

Key Tasks/Responsibilities:

Analytics Leadership & Functional Management:

  • Serve as the functional analytics leader for the Pricing department, translating pricing priorities into a scalable analytics roadmap and delivery plan.
  • Establish standards for metric definitions (e.g., margin, price realization, overrides), dashboard governance, and reporting cadence across Pricing stakeholders.
  • Lead cross‑functional collaboration with Pricing, Category, Sales leadership, and IT/data teams to prioritize, deliver, and sustain analytics products.
  • Design, build, and maintain enterprise‑grade Power BI dashboards for pricing performance, margin trends, and operational tracking (e.g., progress monitoring, completion status, exception visibility).
  • Create semantic models and governed datasets to ensure consistency of insights and reduce report sprawl; improve usability and self‑service for pricing stakeholders.
  • Partner with stakeholders to define KPIs, build executive‑ready views, and evolve dashboards based on field feedback and adoption.

Data Science & Python Enablement:

  • Use Python to develop repeatable analytics workflows (data preparation, modeling, anomaly detection, forecasting, and performance monitoring) that support pricing strategy and governance.
  • Build automated pipelines and analysis templates to reduce manual work and improve timeliness/accuracy of pricing insights.
  • Apply statistical and analytical techniques to uncover margin leakage drivers and identify actionable opportunities for pricing and category teams.

Data Quality & Enablement:

  • Improve data integrity and usability by partnering with master data and business teams on product attributes and category structures needed for pricing segmentation and maintenance.
  • Support data cleanup initiatives by designing tracking and reporting mechanisms.
  • Support evaluation and enablement of pricing platforms and analytics integration, ensuring pricing data can be consumed effectively via BI tools (including Power BI) and analytics layers.
  • Develop repeatable reporting packages for leadership and business reviews; ensure metrics align to Pricing profitability goals and strategic initiatives.

Knowledge/Skills/Abilities:

  • Advanced experience in Power BI (data modeling, DAX, semantic layer design, performance tuning).
  • Strong proficiency in Python for analytics and automation (e.g., pandas, numpy, notebooks, productionizing workflows).
  • Proven ability to lead cross‑functional work through influence (functional management), driving standards and adoption.
  • Strong communication skills with the ability to translate technical findings into business actions.
  • Experience supporting Pricing, Revenue Management, or Commercial Analytics organizations in a multi‑branch/multi‑region environment.
  • Experience building dashboards and tracking mechanisms for operational processes and data completeness initiatives.
  • Familiarity with pricing governance concepts (overrides, discounting controls, margin leakage visibility).
  • Experience integrating analytics with enterprise systems and/or pricing platforms; exposure to BI tool interoperability expectations.
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