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Data Science Engineer

  • ... Posted on: Oct 31, 2025
  • ... MW Partner
  • ... Austin, Texas
  • ... Salary: Not Available
  • ... Full-time

Data Science Engineer   

Job Title :

Data Science Engineer

Job Type :

Full-time

Job Location :

Austin Texas United States

Remote :

No

Jobcon Logo Job Description :

MW Partners is currently seeking a Data Science Engineer to work for our client who is a global leader in multimedia and creativity software products.

Responsibilities and duties:

  • Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.
  • Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science frameworks and embed insights into operational processes.
  • Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders.

Requirements:

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. Advanced degrees are a plus.
  • Possess over 5 years of experience in data science and machine learning.
  • Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks.
  • Hands-on experience with AI agents and LLMs - Preferred.
  • Showcase a successful history of leading impactful data science initiatives.
  • Exhibit strong communication and teamwork abilities.
  • This role is not suitable for entry-level candidates or interns.

For a confidential discussion or to find out more, contact Indu Sri Lakavath on (909) 258-9833 or apply now.

Jobcon Logo Position Details

Posted:

Oct 31, 2025

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-dbd0a7a142799f8c6254b9a0a5a36b3f022d301699361bf9539ebb07dc51c797

City:

Austin

Job Origin:

CIEPAL_ORGANIC_FEED

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MW Partners is currently seeking a Data Science Engineer to work for our client who is a global leader in multimedia and creativity software products.

Responsibilities and duties:

  • Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.
  • Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science frameworks and embed insights into operational processes.
  • Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders.

Requirements:

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. Advanced degrees are a plus.
  • Possess over 5 years of experience in data science and machine learning.
  • Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks.
  • Hands-on experience with AI agents and LLMs - Preferred.
  • Showcase a successful history of leading impactful data science initiatives.
  • Exhibit strong communication and teamwork abilities.
  • This role is not suitable for entry-level candidates or interns.

For a confidential discussion or to find out more, contact Indu Sri Lakavath on (909) 258-9833 or apply now.

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