Director of Data Science

ZineOne

Milpitas, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 05/26/2021
  • Website: zineone.com
  • Company Address: 1900 McCarthy Blvd. Suite 420, Milpitas, CA, 95035

About ZineOne

ZineOne enables large enterprises in the retail, banking, and hospitality industries to understand and respond in real-time to individual customer activity, solving the challenge of personalized engagement at scale.

Job Description

What You Will Do

  • Lead a team of data scientists and data engineers in using data science, machine learning, and deep learning to drive product innovations, customer success, marketing optimization, and more.
  • Cooperate with business roles for demonstrating the world-class data science products, and for guiding the customers on adopting the cutting-edge AI concepts and logic.
  • Represent data science and data engineering teams with customers during requirements gathering, data flow, use case design, and implementation will enable successful business outcomes for machine learning use cases.
  • Actively drive the major AI work streams including Machine Learning, Deep Learning and Statistical modeling, and the initiatives on AI.
  • Drive the building and continuously enhancing the data science framework for maximizing the efficiency of model building, for optimized performances, as well as the fully covered automation.
  • Identify, evaluate, propose and drive the opportunities on new use cases as well as useful insights for solving key business issues and delivering significant business value.

Qualifications

  • PhD, Master Degree or higher in Computer Science, Data Science or similar area.
  • 8+ years of hands-on data science experience working ideally in a Retail, QSR or Finance.
  • 8+ years of leadership experience in SaaS software development, data science & analytics, and have managed a team of high performing data scientists and analysts. Very experienced working with customers and in the software engineering process for delivering large scale and quality applications.
  • Strong knowledge on the big data techniques including the Hadoop/Hive eco-system, distributed data processing, message queues, high-performance databases (columnar, sharding, etc.), and massive parallel processing and micro-batch processing engines such as Apache Spark.
  • Experienced in statistics & analytical modeling, time-series data analysis, forecasting modeling, machine learning algorithms, and deep learning approaches and frameworks.
  • Have a proven track record of delivering robust, scale and quality data analytical applications in a cloud environment.
  • Experienced in building, growing a team with data scientists and software engineers, and experienced in developing the team to establish a talent pipeline.
  • Have experience managing cross-country teams including members in US as well as overseas locations (India, Canada).
  • Have very good communication skills and cross-team collaboration skills for business needs to be converted and prioritized to the right data analysis projects.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.