Data Science/ML Engineer at Retail Solutions
San Jose, CA, US

RSi is a leading provider of retail data science-based analytics and a big data management platform that helps top retailers and CPG companies manage their supply chain and marketing initiatives to drive sales results.  Using machine learning, streaming analytics and predictive models, we are the go-to cloud-based peta-scale SaaS platform in the retail industry.  Join our team as a QA, Data Science and join a global innovative technology leader with a strong presence in San Jose, CA.

POSITION SUMMARY:

The Data Science/ML Engineer is a unique position for motivated people who pay attention to details and like to apply their critical thinking and statistical knowledge to big data and machine learning models. This position is within our data science team and the individual will work with data scientists, data engineers and software engineers in the team to create solutions to improve the quality of ML models. The Data Science/ML Engineer will report to the head of Data Science Team.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Design and implement software for QA of ML datasets and models
  • Creating a measure to quantify the quality of data and models.
  • Design and Develop validation framework for ML models.
  • Collaborate with Data Scientist to understand data and models.
  • Applying statistical concepts to validate and QA data and models.

QUALIFICATIONS:

  • Master’s degree or higher in Statistics (Preferred), Math, or similar area with rigorous statistical training.
  • 1+ years of programming experience in Python, R, and/or Scala.
  • Experience in statistical analysis and modeling, time series modeling, hypothesis testing, and statistical inference.
  • Basic understanding of SQL.
  • Great written and verbal communication skills.

PREFERRED QUALIFICATIONS:   

  • Knowledge of distributed frameworks such as Apache Spark, Apache storm. 
  • Experience in cloud-native software development.
  • Knowledge in forecast modeling, machine learning algorithms, and deep learning approaches and frameworks.

ABOUT RETAIL SOLUTIONS, INC.:

Retail Solutions, Inc. ("RSi") develops and delivers a comprehensive suite of award-winning software-as-a-service (SaaS) solutions that turn Retailer "downstream data", such as point-of-sale (POS), supply chain, merchandiser feedback and category data, into actionable visibility into the store and onto the shelf for their suppliers.
RSi, the largest and fastest-growing company in the Retail Execution Management field, has more experience with processing customer-specific retailer data than any other company. Retailers and consumer product goods (CPG) companies trust Retail Solutions to grow sales, reduce out-of-stocks, improve promotion execution and effectiveness, maximize retail operation productivity and foster collaborative relationships in the retail industry to improve product availability for the end-consumer.
RSi serves more than 500 CPG Companies, including 23 of the top 25 global consumer goods companies, and processes data from more than 175 leading retailers in the Americas and Europe.
Retail Solutions, Inc. is headquartered in San Jose, CA and has offices in Providence, RI, Bentonville, AR, Minneapolis, MN, Chicago, IL, Brentford, UK, Munich, Germany, Pune, India, and Shanghai, China. RSi is an equal opportunity employer.