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:
- Bachelors 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 or apply now.
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 classific...
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:
- Bachelors 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 or apply now.
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