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Contract Data Scientist Risk Jobs in Georgia (NOW HIRING)

Senior Data Scientist Job Location: Atlanta, GA (Onsite) Job Type ... Contract Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and ...

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ...

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ...

Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity. Your effort and expertise are crucial to ...

Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity. Your effort and expertise are crucial to ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical ...

Our insurance risk solutions help drive better data-driven decisions across the insurance policy ... About the Role We are seeking a highly motivated data scientist to join the Data Science ...

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Our insurance risk solutions help drive better data-driven decisions across the insurance policy ... About the Role We are seeking a highly motivated data scientist to join the Data Science ...

Data Scientist I (DSAP)

Alpharetta, GA · On-site

$59K - $98K/yr

Our insurance risk solutions help drive better data-driven decisions across the insurance policy ... About the Role We are seeking a highly motivated data scientist to join the Data Science ...

At AIG, we're reshaping how the world manages risk, and we're inviting you to be a key part of that transformation. How you will create impact As a Data Scientist at AIG, you will serve a critical ...

... risk and also provide consultation to business leaders and other stakeholders on how to leverage ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Minimizing supply chain risk and optimizing manufacturing operations are critical to enabling ... The Data Scientist 4 applies professional concepts and company objectives to resolve complex issues ...

Minimizing supply chain risk and optimizing manufacturing operations are critical to enabling ... The Data Scientist 4 applies professional concepts and company objectives to resolve complex issues ...

Showing results 21-40

Contract Data Scientist Risk information

What is a contract data scientist risk?

Contract Data Scientist Risk jobs involve analyzing large datasets to identify, assess, and model risks within an organization on a contract or temporary basis. These professionals use statistical techniques, machine learning, and data visualization to help companies make informed decisions about risk management. Their work often focuses on financial, operational, or compliance risks, and they typically collaborate with risk managers and other stakeholders. Contract roles offer flexibility and are often project-based, allowing companies to access specialized expertise when needed.

How does a contract data scientist risk typically collaborate with cross-functional teams within an organization?

As a Contract Data Scientist focused on risk, you’ll frequently work alongside risk analysts, compliance officers, IT professionals, and business managers to identify, assess, and mitigate potential threats to the organization. You’ll translate complex data models into actionable insights, present findings to non-technical stakeholders, and often participate in strategic meetings to align your analyses with business goals. Effective communication and teamwork are essential, as your models and recommendations directly influence decision-making across departments. This collaborative environment allows you to quickly gain exposure to different areas of the business and expand your professional network.

What are the key skills and qualifications needed to thrive as a contract data scientist risk, and why are they important?

To thrive as a Contract Data Scientist in Risk, you need strong analytical skills, proficiency in statistical modeling, and a solid background in mathematics or computer science, often supported by an advanced degree. Familiarity with programming languages like Python or R, expertise in machine learning libraries, and experience with risk modeling platforms or data visualization tools are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately identifying, assessing, and mitigating risks, enabling data-driven decision-making in dynamic business environments.
What are the most commonly searched types of Data Scientist Risk jobs in Georgia? The most popular types of Data Scientist Risk jobs in Georgia are:

Data Scientist

Tror AI for everyone

Atlanta, GA • On-site

Contractor

Re-posted 13 days ago


Job description

Job Role: Senior Data Scientist

Job Location: Atlanta, GA (Onsite)

Job Type: Contract

Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and along with Agentic Ai development on Cloudera or Deatricks.

Job Description: 
We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera / Databricks.

In this role, you will:
• Join Technology team to develop analytical frameworks and reliable measurement strategies for various products, services, and capabilities.
• Design, execute, and analyze complex business and user experiments
• Partner with Product partners and other Data Engineers to set the vision and develop experimentation specifically focused on Profiling Engine, Advanced Segmentation Engine and Advanced Targeting.
• Communicate key insights from analyses, experiments, and data products to stakeholders.

All About you:

  • Core Data Science & Analytics Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments.
  • Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
  • Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines.


Machine Learning & AI Engineering:

  • Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle.
  • Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and monitoring.
  • Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., Spark).


Generative AI & Agentic Systems:

  • Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
  • Experience building AI agents or agentic workflows capable of reasoning, tool use, multi-step task execution, and autonomous decision-making.
  • Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, or similar orchestration frameworks).
  • Experience with vector databases, embeddings, and semantic search for building knowledge-driven AI systems.


Agentic Coding & AI-Assisted Development:

  • Strong understanding of AI-assisted software development workflows, including agent-based coding, code generation, automated debugging, and evaluation loops.
  • Experience integrating LLMs with APIs, internal tools, and data systems to build production-grade AI copilots or autonomous workflows.


Business Impact & Communication:

  • Ability to translate complex technical concepts into clear business insights, communicating effectively with both technical and non-technical stakeholders.
  • Strong analytical thinking with the ability to work with ambiguous or incomplete data, develop creative analytical approaches, and connect results to business outcomes.


Domain & Collaboration:

  • Experience applying data science in digital marketing, customer analytics, or growth analytics is highly desirable but not mandatory.
  • Comfortable collaborating with engineering, product, and business teams to build scalable data products and AI-driven solutions.
 

Nagendra

US IT Recruiter | TROR LLC

Ph: 615-857-6282 | Email: nregella@tror.ai

LinkedIn: https://www.linkedin.com/in/nagendra-nag-1b7665b8/

Website: https://tror.ai

Address: 401 Ronan Way, Spring Hill, TN 37174