Senior Associate – Data Scientist

 

As a Senior Associate – Data Scientist, you will design, build, and productionize advanced analytics and AI solutions that drive measurable business value. You will work closely with Data Product Owners, Data Analysts, BI Developers, and Data Quality Specialists to translate complex business challenges into data-driven models and experiments. Leveraging Python, SQL, and modern ML frameworks, you will develop scalable machine learning solutions that are explainable, governed, and aligned with organizational priorities.

 

 

Translate business problems into data science projects by defining clear hypotheses, success metrics, and validation methods.

 

Explore, clean, and transform structured and unstructured data using Python and SQL to prepare high-quality datasets for modeling.

 

Design, train, and evaluate machine learning models using appropriate algorithms and statistical techniques (e.g., regression, classification, clustering, NLP, forecasting).

 

Collaborate with engineering and platform teams to productionize AI models through reproducible pipelines and CI/CD workflows.

 

Apply model explainability, fairness, and interpretability techniques (e.g., SHAP, LIME, feature importance) to ensure transparency and accountability.

 

Support AI governance activities, including Model Risk Management (MRM) processes, ensuring compliance and responsible use of AI.

 

Conduct and analyze A/B tests or controlled experiments to assess model and feature performance.

 

Work with Data Product Owners to define business outcomes, monitor model performance post-deployment, and ensure continued relevance.

 

Collaborate with Data Quality Specialists to ensure input data meets quality, lineage, and governance standards.

 

Communicate results effectively through visualizations, storytelling, and presentations tailored to technical and non-technical audiences.

 

 

RELATED YEARS OF EXPERIENCE

 

 

TECHNICAL AND INTERPERSONAL SKILLS

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

 

Master’s degree or higher in Data Science, Machine Learning, or Applied Statistics is an advantage.