Job Description
As a Senior Data Scientist, you’ll play a key role in designing and scaling advanced machine learning and AI solutions that drive personalization, recommendations, and intelligent automation across ADUSA’s digital platforms. You’ll collaborate closely with Machine Learning Engineers, Data Engineers, and Data Science Leads to turn data into business impact developing robust models, optimizing pipelines, and delivering measurable results that improve customer engagement and operational efficiency.
Key Responsibilities
· Build, test, and deploy recommendations, personalization, and predictive models that power digital experiences across banners.
· Develop end-to-end ML pipelines from data preparation and feature engineering to model training, evaluation, and production inference.
· Leverage Hugging Face Transformers, embedding models, and semantic search techniques to enhance product relevance and contextual understanding.
· Explore generative AI and retrieval-augmented generation (RAG) approaches for product matching, search, and personalization.
· Collaborate with MLEs to productionize models and ensure scalable, monitored, and retrainable ML systems.
· Partner with Data Engineers to design efficient data flows and maintain clean, versioned datasets for model consumption.
· Work with Data Science Leads and business stakeholders to define success metrics, design A/B experiments, and translate insights into data-driven actions.
· Contribute to shared best practices, documentation, and continuous improvement of ADUSA’s advanced analytics ecosystem.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
· Proficiency in Python, PySpark, and Databricks for large-scale data processing and ML development.
· Strong experience with scikit-learn, PyTorch, TensorFlow, and Hugging Face libraries.
· Proven background in recommendation systems, semantic search, or customer personalization models.
· Experience in feature engineering, EDA, model evaluation, and MLOps workflows.
· Familiarity with A/B testing frameworks and model observability practices.
· Strong collaboration and communication skills to work effectively.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.