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Junior Data Protection Analyst Jobs in Georgia (NOW HIRING)

Equifax

Senior Data Scientist - Fraud

Alpharetta, GA · On-site

Serve as a technical leader and mentor for junior data scientists and analysts, conducting code reviews, sharing best practices, and fostering a culture of innovation and excellence. * Translate ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

The ideal candidate is a strategic thinker who can translate business challenges into scalable analytical solutions while mentoring junior team members. Key Responsibilities Data Analysis & Insight ...

VHB

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Strong analytical and problem-solving skills with the ability to balance technical and business ... Prior experience mentoring junior engineers, architects, or technical teams. * Experience designing ...

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

... junior data scientists and contribute to the growth and development of the data science team. • ... sentiment analysis, or other related applications. • Strong background in machine learning ...

2KB Energy Services

Junior Energy Analyst

Atlanta, GA · On-site

$40K - $55K/yr

As a Junior Energy Analyst, you will develop your skills by uncovering trends hidden within energy data and establishing performance benchmarks that help clients better understand their facilities.

Cargill

Data Security Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

The Data Security Architect will drive the enterprise data protection strategy and design scalable ... Define secure data architecture patterns for data lakes, analytics platforms, ERP systems, SaaS ...

Guidehouse

Data Security Analyst

Atlanta, GA · On-site

$68K - $113K/yr

Support the day-to-day operations of Guidehouse Information Protection security systems, helping ... Monitor and analyze data sharing activities across the organization to comply with security ...

Guidehouse

Data Security Analyst

Atlanta, GA · On-site

$68K - $113K/yr

Support the day-to-day operations of Guidehouse Information Protection security systems, helping ... Monitor and analyze data sharing activities across the organization to comply with security ...

Navigant Consulting

Data Security Analyst

Atlanta, GA · On-site

$68K - $113K/yr

Support the day-to-day operations of Guidehouse Information Protection security systems, helping ... Monitor and analyze data sharing activities across the organization to comply with security ...

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Junior Data Protection Analyst information

What is the difference between Junior Data Protection Analyst vs Data Privacy Specialist?

AspectJunior Data Protection AnalystData Privacy Specialist
CertificationsBasic data protection and privacy certifications (e.g., CIPP/US, CIPM)Similar certifications, often more advanced or specialized
Work EnvironmentEntry-level role, supporting data protection initiatives within organizationsFocused on privacy compliance, policy development, and risk assessment
Employer & Industry UsageCommon in tech, finance, healthcare sectorsUsed across industries with strong privacy regulations
Search & Comparison IntentUnderstanding entry-level data protection rolesClarifying privacy compliance responsibilities

The Junior Data Protection Analyst typically handles foundational data protection tasks, supporting compliance efforts. In contrast, a Data Privacy Specialist often focuses on developing privacy policies and ensuring regulatory adherence. Both roles require similar certifications and are prevalent in regulated industries, but they differ in scope and seniority.

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Junior Data Protection Analyst jobs near you

Senior Data Scientist - Fraud

Equifax

Alpharetta, GA • On-site

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax Enterprise Innovation Office is seeking a strong Data Scientist who can utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects in the Fraud space.
Qualified candidates will have a passion for data science, mathematics, statistics, AI/Machine learning, data gathering, and experience in financial modeling. The ideal candidate will come from a fraud background, deeply understanding the importance of fraud in the credit data space.
We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday-Thursday), paired with Friday Flexibility to wrap up your week remotely.
This role reports to our office Alpharetta, GA office.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This is a direct-hire role and is not open to C2C or vendors.
What you'll do
  • Design and deploy advanced fraud and credit risk models to mitigate threats across the enterprise.
  • Develop and productionize innovative GenAI and LLM-driven solutions for complex fraud detection.
  • Develop customer fraud models with exposure to various fraud types (e.g., account takeover, identity theft, payment fraud).
  • End-to-end design, development, and deployment of advanced machine learning, AI, and Generative AI models to power new product initiatives across the enterprise.
  • Design and build novel algorithms to enhance our data governance, quality, and metadata management capabilities, creating new ways to automatically know and manage our data assets.
  • Proactively collect, analyze, and interpret existing internal data and evaluate new, external data sources to identify and propose new product opportunities for our business units.
  • Act as a senior technical consultant and partner to global teams, helping them frame their business problems, identify data-driven solutions, and overcome their most complex analytical challenges.
  • Serve as a technical leader and mentor for junior data scientists and analysts, conducting code reviews, sharing best practices, and fostering a culture of innovation and excellence.
  • Translate complex analytical findings and research outputs into clear, compelling presentations and strategic recommendations for diverse stakeholders, including senior leadership.
  • Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
  • Lead the analytical strategy on critical technical capabilities for global company solutions.
  • Work with key stakeholders to support development of proprietary analytical products and custom scores, effectively communicating the "so what" of the analysis using strong data visualizations and business language.
  • Contribute to the evaluation of external data sources and data science capabilities, providing due diligence recommendations.

What experience you need
  • A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field
  • 7-10+ years of hands-on experience building and deploying production-level data science solutions using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks,
  • Proficient skills building models using packages including scikit learn, XGBoost, Tensorflow, PyTorch, Transformers, etc.
  • 4+ years of experience in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
  • 4+ years of experience to work with massive (petabyte-scale) datasets using strong SQL and big data technologies (e.g., Spark, Dataflow, BigQuery, Snowflake) within a cloud environment (AWS, Google Cloud Platform-Preferred).
  • Deep knowledge of classical machine learning, statistical modeling, and NLP. You should have a strong command of supervised and unsupervised learning, time-series analysis, and model validation techniques
  • Excellent verbal and written communication skills, with a proven ability to collaborate effectively with cross-functional teams and present complex topics to non-technical audiences
  • 1+ year of experience mentoring junior data scientists
  • 2+ years' experience developing and leading the technical vision of an organization and working independently and closely with senior leadership to lead data science to continued success into the future
  • Experience with development and deployment of models in a cloud-based environment such as AWS or Google Cloud Platform.
  • Background in, and an innate talent and passion for, trying new technologies and quickly assessing value and implementability within organizations.
  • Hunger for innovation and ability to switch between multiple projects at once.

What could set you apart
  • Extensive experience in developing and deploying production-level Fraud and Credit risk models.
  • Extensive experience in building, fine-tuning, and productionizing GenAI and LLM solutions (e.g., RAG, fine-tuning, LLM orchestration).
  • Demonstrable, hands-on experience building and fine-tuning LLMs, developing Retrieval-Augmented Generation (RAG) systems, and understanding the MLOps lifecycle for GenAI.
  • Prior experience working in the financial services industry (e.g., risk modeling, algorithmic trading, fraud detection, or compliance).
  • A portfolio or past experience building models specifically for data management (e.g., data quality anomaly detection, PII identification, automated data cataloging).
  • A history of publishing research in relevant AI/ML conferences or contributing to major open-source data science projects.
  • Knowledge in graph mining and graph data model
  • Innate talent and passion for trying new technologies and quickly assessing value and implementability within organizations.
  • Demonstrable experience with identity graphs and graph-related technologies is a plus.

#LI-AM2
#LI-Hybrid
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta JV White
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

Social media

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