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Über
Summary 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.
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.
Qualifications
Bachelor's Degree or greater preferred 3 - 4 years of professional experience; retail industry is preferred 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.
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of:
Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands -
Manpower, Experis, Talent Solutions, and Jefferson Wells
- creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.
Sprachkenntnisse
- English
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