Sr Data Scientist

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 10 Month(s)

Skills

graph analytics or network-based fraud detection tools
regulatory frameworks and compliance
data science.
Python
SQL
SAS and machine learning techniques.
large datasets and cloud platforms ( AWS GCP Azure).
supervised and unsupervised fraud detection techniques
including anomaly detection
behavioral modeling
network analysis.
visualization tools like Tableau and Power BI.
responsible use of AI if used in solution design.

Job Details

Hi,

Greetings from DIA SOFTWARE SOLUTIONS LLC!

We reaching out about an exciting Direct client opportunity with one of our clients. Please review the requirements and let me know if you are interested in this position?

Direct client Req:: Need Sr Data Scientist GA, Hybrid

PLEASE SEND THE RESUMES TO SKUMAR AT DIASOFTWARESOLUTIONS DOT COM !

Job Description:

We are seeking a highly analytical and detail-oriented Data Scientist with experience in Risk and Fraud analytics to join our growing team. This role will focus on developing and deploying machine learning models, statistical methods, and data-driven strategies to detect risky behaviors and prevent fraudulent activities across our products and services.

Key Responsibilities

  • Collect, clean, and analyze large, complex datasets from multiple sources.
  • Develop predictive models and machine learning algorithms to support decision-making and improve business performance.
  • Translatebusiness problems into data-driven solutions with measurable impact.
  • Develop and deploy machine learning models to detect, predict, and prevent fraudulent transactions and behavior patterns.
  • Analyze large volumes of structured and unstructured data from multiple sources to identify fraud trends and root causes.
  • Collaborate with fraud operations, engineering, and compliance teams to implement real-time fraud detection solutions.
  • Design and monitor KPIs to evaluate model performance and improve fraud detection systems over time.
  • Conduct deep-dive investigations into fraud cases, creating detailed reports and actionable insights.
  • Stay current with emerging fraud techniques, industry best practices, and data science tools.

Required Qualifications

  • Bachelor s or master s degree in data science, Computer Science, Statistics, Mathematics, Economics or a related field.
  • 10+ years of professional experience in data science
  • Proficient in Python, SQL, SAS and machine learning techniques
  • Experience in responsible use of AI if used in solution design

Strong analytical skills and the ability to identify patterns and trends from data

  • Experience working with large datasets and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
  • Strong understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis.
  • Experience with visualization tools like Tableau and Power BI.

SKILLS MATRIX

Skill

Required

Amount of Experience

Experience

Familiarity with graph analytics or network-based fraud detection tools.

Highly desired

Knowledge of regulatory frameworks and compliance issues related to fraud and financial crime.

Highly desired

Strong communication skills with the ability to explain technical solutions to non-technical stakeholders.

Highly desired

Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, Economics or a related field.

Required

10 Years

Professional experience in data science.

Required

10 Years

Proficient in Python, SQL, SAS and machine learning techniques.

Required

5 Years

Experience working with large datasets and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).

Required

5 Years

Understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis.

Required

Experience with visualization tools like Tableau and Power BI.

Required

5 Years

Experience in responsible use of AI if used in solution design.

Required

5 Years

Strong analytical skills and the ability to identify patterns and trends from data.

Required

DIA SOFTWARE SOLUTIONS LLC.

Austin, TX 78727| Direct:

DIA SOFTWARE SOLUTIONS is an Affirmative Action/Equal Opportunity Employer that supports workplace diversity. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All Diasoft staff must be able to demonstrate the legal right to work in the United States. DIA SOFTWARE SOLUTIONS is an E-Verify employer

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Dia Software Solutions