1

Director Data Analyst Machine Learning Jobs in Georgia

This role involves advanced analytics, machine learning, and strong problem-solving skills to extract actionable information from large datasets. Key Responsibilities: Data Analysis: Collect, clean ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast ...

This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal candidate is a strategic thinker who can translate ...

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

The ideal candidate will have strong experience with Python, machine learning frameworks, data processing, and cloud-based ML platforms. Required Skills: * 5+ years of Machine Learning experience

New

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 ...

This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets. Key Responsibilities: 1. Data ...

... statistics, machine learning, etc.) and learn new skills. Operates under the supervision and ... This position has no Direct Reports Travel Requirements: * Typically requires overnight travel less ...

You'll build the data foundation that powers this work, implement and train models that bridge physics-based simulation with modern machine learning, and work closely with an experienced technical ...

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 ...

Sr Data Analyst, Data Science Analytics

Atlanta, GA · On-site

$81K - $103K/yr

... machine learning, etc.) and operates under minimal supervision and mentorship of more experienced ... This position has no Direct Reports Travel Requirements: * Typically requires overnight travel less ...

As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with ...

Showing results 21-40

Director Data Analyst Machine Learning information

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.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Georgia?

The most popular types of Data Analyst Machine Learning jobs in Georgia are:

What job categories do people searching Director Data Analyst Machine Learning jobs in Georgia look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Director Data Analyst Machine Learning jobs?

Cities in Georgia with the most Director Data Analyst Machine Learning job openings:

Infographic showing various Director Data Analyst Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

DATA SCIENTIST

4P Consulting Inc.

Forest Park, GA

Contractor

Re-posted 25 days ago


Job description

HI,

Hope you're doing well

This is pankaj from 4P Consulting Please see below job description

Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C

  • A Data Scientist with 5 to 10 years of
    experience is responsible for leveraging
    data to uncover insights, create predictive
    models, and drive data-driven decision-
    making within an organization.
  • This role
    involves advanced analytics, machine
    learning, and strong problem-solving skills
    to extract actionable information from
    large datasets. Key Responsibilities: Data
    Analysis: Collect, clean, and analyze
    complex datasets to identify trends,
    patterns, and actionable insights.
  • Use
    statistical techniques to uncover
    meaningful information from data.
    Predictive Modeling: Develop and deploy
    machine learning models to predict future
    trends, behaviors, and outcomes. Apply
    regression analysis, clustering,
    classification, and other modeling
    techniques.
  • Data Visualization: Create
    compelling data visualizations to
    communicate findings effectively to both
    technical and non-technical stakeholders
    using tools like Tableau, Power BI, or
    Python libraries. Hypothesis Testing:
    Formulate and test hypotheses, providing
    statistical validation for business
    decisions and recommendations.
  • Feature
    Engineering: Engineer and select relevant
    features for machine learning models,
  • enhancing their predictive power.
    Algorithm Development: Build and fine-
    tune machine learning algorithms, such
    as decision trees, random forests, neural
    networks, and more, depending on the
    specific problem.
  • Data Integration:
    Collaborate with IT and database
    administrators to integrate and access
    data from various sources and data
    warehouses. Model Deployment: Deploy
    machine learning models in production
    environments to support real-time
    decision-making. A/B Testing: Design and
    analyze A/B tests to measure the impact
    of changes and improvements. Data
    Ethics:
  • Ensure ethical data practices,
    including privacy and compliance with
    data protection regulations. Cross-
    functional Collaboration: Collaborate with
    cross-functional teams, including
    engineers, business analysts, and domain
    experts, to understand business
    requirements and align data science
    initiatives with organizational goals.
    Mentorship:
  • Provide guidance and
    mentorship to junior data scientists and
    analysts, fostering their professional
    growth. Continuous Learning: Stay
    updated on the latest data science tools,
    techniques, and trends through ongoing
    professional development. Qualifications:
    Bachelors degree in a quantitative field
    (e.g., Computer Science, Statistics,
    Mathematics, Engineering); a Masters or
    Ph.D. is a plus.
  • 5 to 10 years of experience
    in data science, including machine
    learning and statistical analysis.
    Proficiency in data analysis tools and
    programming languages such as Python,
    R, or Julia. Strong knowledge of machine
    learning algorithms and their applications.
    Experience with data visualization toolslike Tableau, Power BI, or data
    visualization libraries in Python (e.g.,
    Matplotlib, Seaborn). Solid understanding
    of databases and data manipulation using
    SQL. Excellent problem-solving and
    critical thinking skills. Strong
    communication skills to convey complex
    findings and insights to both technical and
    non-technical stakeholders. Familiarity
    with big data technologies and distributed
    computing frameworks is a plus (e.g.,
    Hadoop, Spark). Knowledge of data
    ethics, privacy, and compliance
    considerations.
  • A Data Scientist with 5 to
    10 years of experience is a critical asset to
    an organization, capable of transforming
    data into actionable insights, building
    predictive models, and driving data-driven
    decision-making. This role requires a
    strong foundation in data science
    techniques, programming, and advanced
    analytics, as well as the ability to
    collaborate with various teams and
    mentor junior staff.

Thanks and Regards

Sr. Talent Acquisition Specialist

Pankaj Mishra

Pankaj.Mishra@4pconsultinginc.com

+1 205-756-4834