ZipRecruiter

Log In

1

Data Ethics Jobs in Georgia (NOW HIRING)

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA · On-site

Data Ethics: * Ensure ethical data practices, including privacy and compliance with data protection regulations. Cross- functional Collaboration: Collaborate with cross-functional teams, including ...

Salesforce, Inc.

Success Architect - Agentforce

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

Values the importance of Data Ethics and Privacy by ensuring that customer solutions adhere to relevant regulations and best practices in data security and privacy * Degree or equivalent experience ...

GEA Group

$93K - $112K/yr

The Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines ... Strong ethics, compliance, and professionalism * Commitment and alignment with business strategies ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

Align data science initiatives with strategic business objectives Governance & Ethics * Ensure ethical data practices and compliance with data privacy regulations * Maintain documentation and ...

next page

Showing results 1-20

All JobsData Ethics JobsData Ethics Jobs in Georgia

Data Ethics information

What is a data ethics?

A Data Ethics job involves ensuring that data is collected, stored, and used in a responsible, fair, and transparent manner. Professionals in this role develop guidelines, assess risks, and implement ethical policies to address issues like bias, privacy, and data misuse. They collaborate with data scientists, legal teams, and policymakers to align data practices with ethical and legal standards.

What are the key skills and qualifications needed to thrive in data ethics?

A strong background in data governance, privacy law, and ethical frameworks is critical for success in data ethics roles, often supported by degrees in data science, law, or related fields. Familiarity with data protection regulations (like GDPR or CCPA), risk assessment tools, and certifications such as CIPP or CDPSE is highly valued. Excellent communication, critical thinking, and cross-functional collaboration skills help professionals effectively advocate for ethical data practices and influence key stakeholders. These competencies ensure organizations responsibly manage data, maintain compliance, and build public trust.

What are some common challenges faced by professionals in data ethics?

Professionals in data ethics often encounter challenges such as balancing business objectives with privacy concerns, navigating evolving regulations, and identifying potential ethical risks in new technologies. They regularly collaborate with legal, compliance, IT, and product development teams to implement policies and ensure ethical data use throughout the organization. Additionally, the rapidly changing landscape of data-related laws and emerging technologies requires continuous learning and adaptability. Overcoming these challenges is essential for fostering responsible data practices and protecting both organizational and public interests.

What does a data ethicist do?

A data ethicist evaluates ethical issues related to data collection, use, and management. They develop guidelines to ensure responsible data practices, often working with data scientists and engineers to address privacy, bias, and fairness concerns in data-driven systems.

What are the most commonly searched types of Data Ethics jobs in Georgia?

The most popular types of Data Ethics jobs in Georgia are:

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

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

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

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

Data Ethics jobs near you
Infographic showing various Data Ethics job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

DATA SCIENTIST

4P Consulting Inc.

Forest Park, GA • On-site

Contractor

Re-posted 11 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