Vacancy expired!
Sr. Data Scientist- Pleasanton, CA Our client is one of largest retailers in the world. Yet their IT department is nimble and dynamic and works with cutting edge technologies. They are currently in need of a Senior Data Scientist who is excited about re-imagining the grocery experience by harnessing the power of AI and digital technologies. This position is remote now but will be based in Pleasanton, California post Covid. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into business impacts on regular basis. You'll work closely with other data scientists and business partners in identifying and defining data science projects, building machine learning algorithms and models on top of existing data platforms. The candidate will have a background in computer science or a related technical field with experiences working with large data sets and applying data-driven decision making. A successful candidate will be both technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions. You are a self-starter, smart yet humble, with a bias for action. 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, to enhance recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile app. 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 store and on digital platforms. Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence. Convey machine learning solutions with intuitive visualizations and effective communications. Qualifications Masters or PhD degree in 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. Position logistics:
- Must be currently authorized to work in the US
- Position type: Contract to Hire
- Position location: Pleasanton, CA
Vacancy expired!