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1 week ago
Data Scientist/Modeler Role Description
The Data Scientist/Modeler will own the end-to-end AML modeling infrastructure, including data pipelines, model development, and deployment. The role requires deep expertise in data science, statistical modeling, and machine learning to support and enhance AML decision-making.
**Job Description**:
Own the entire AML modeling infrastructure, ensuring its robustness and scalability.
Develop data pipelines and preprocessing techniques for modeling workflows.
Conduct exploratory data analysis, feature engineering, and algorithm selection.
Evaluate model performance using statistical and business-driven metrics.
Collaborate with AML teams to align model outputs with compliance and operational requirements.
Provide technical documentation and training to stakeholders.
Stay updated on the latest advancements in machine learning and data science technologies.
Mandatory Skills
Strong expertise in data science and machine learning (5+ years).
Proficiency in Python, R, or other relevant programming languages.
Experience in building, deploying, and maintaining ML models in production.
Familiarity with AML use cases, such as anomaly detection and predictive analytics.
Solid understanding of data pipelines, ETL processes, and big data platforms.
Strong problem-solving and analytical skills.
Ability to work onsite with effective communication skills for cross-functional collaboration
**About Virtusa**
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
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