Data Scientist - Artificial Intelligence/Machine Learning

<p><p>Responsibilities :</p><p><br/></p><p>End-to-End Model Development : </p><p><br/></p><p>- Design, build, and implement ML models from problem definition through to evaluation and deployment support.</p><p><br/></p><p>Feature Engineering : </p><p><br/></p><p>- Identify, engineer, and optimize features to improve model accuracy and performance.</p><p><br/></p><p>Problem Definition & Business Impact : </p><p><br/></p><p>- Collaborate with business stakeholders to understand objectives, define problems clearly, and deliver solutions with measurable impact.</p><p><br/></p><p>Model Evaluation & Selection : </p><p><br/></p><p>- Experiment with multiple ML algorithms, evaluate performance using appropriate metrics, and select the most effective model.</p><p><br/></p><p>Data Management : </p><p><br/></p><p>- Leverage SQL/PySpark to manipulate large datasets and support migration of models from legacy SAS AML to Palantir Foundry.</p><p><br/></p><p>Collaboration : </p><p><br/></p><p>- Work closely with data engineers, analysts, and business teams to ensure robust, scalable & Knowledge Sharing : </p><p><br/></p><p>- Maintain clear documentation of model workflows, assumptions, and decisions for transparency and future :</p><p><br/></p><p>- Strong hands-on experience in end-to-end machine learning model development.</p><p><br/></p><p>- Proven ability in feature engineering and working with large, complex datasets.</p><p><br/></p><p>- Intermediate to advanced proficiency in SQL and PySpark.</p><p><br/></p><p>- Experience in migrating or modernizing models (SAS AML Palantir Foundry a strong plus).</p><p><br/></p><p>- Strong understanding of ML algorithms, model evaluation techniques, and deployment considerations.</p><p><br/></p><p>- Ability to clearly articulate business problems and translate them into data-driven solutions.</p><p><br/></p><p>- Excellent communication, problem-solving, and collaboration skills.</p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field.</p><p></p><br/></p> (ref:hirist.tech)