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Role: Sr. Data Scientist with strong Data Mining & Data Modelling Experience Location: Pleasanton CA Duration: Long Term Experience: 10+ years Mandatory
Key Responsibilities Include But Are Not Limited To - Collaborate with internal stakeholders and build production-grade models and machine learning algorithms on large-scale datasets.
- Apply machine learning to generate customer behavior segmentation, enhance recommendation engines, and deliver personalized user experience on eCommerce websites and loyalty mobile apps.
- Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real-time learning algorithms to optimize the forecasts.
- Build data science solutions to fuel growth initiatives for Digital, Merchandising, Marketing, and Loyalty teams
- Design experiments and deliver A/B Testing analysis to improve customer experience in physical stores and on digital platforms.
- Apply statistical analysis to detect anomalies in systems and outliers in operational metrics for operational excellence.
- Convey machine learning solutions with intuitive visualizations and effective communications.
Qualifications - Masters or Ph.D. degree in a quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics, or related fields
- 4+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling, etc.
- 4+ years of experience and proficiency in SQL, Python and/or Spark-ML
- 4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.
- 2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop
- Ability to write production-level code in Python.
- Experience with Snowflake, Azure Databricks is a strong plus.
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