Sr Data scientist

Sr Data scientist

Vacancy expired!

Data Scientist- Pleasanton, CA
Our client is one of the 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 Data Scientist who is excited about reimagining the grocery experience by harnessing the power of AI and digital technologies. This position is located in Pleasanton, California.
In this role, 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 a 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. 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 business teams to develop production-grade machine learning models on large-scale datasets and improve customers' overall shopping experience
• Enhance and apply customer lifetime value models to support various business decision making
• Apply machine learning to enhance recommendation engines and deliver personalized user experience on eCommerce website and loyalty mobile app
• Build models and algorithms to fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams
• Scale-up prototypes and implement reliable automated production workflow for models
• Collaborate with software development engineers to integrate models
• Apply predictive modeling techniques to optimize the forecasts for planning needs
• Detect anomaly in systems through various techniques and identify outliers in operational metrics

Qualifications:

• Masters or Ph.D. degree in a quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields
• 2+ 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.
• 1+ years of experience and proficiency in SQL, Python and/or Spark-ML
• 1+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.
• 1+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop
• Strong teamwork and communication skill
• 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

About the Client:
This client has a strong reputation as a responsible corporate citizen and has long been committed to improving the quality of life in the communities they serve. With numerous training programs and outlets for development, they ensure that employees are continually strengthening their skill set and developing as individuals. Their facilities are modern, clean and comfortable.
About Maxonic:
Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long term career needs of our candidates. We take pride in the over 5,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.
Interested in Applying?
We can't wait to see your resume. Please apply below with your most current resume and anything else you'd like us to know about you commute preferences, desired work environments, etc. We promise to get back to you within 24 hours. Feel free to email Bhavana Mathur () or call