Proven experience in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, Pytorch)
Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open-source libraries and frameworks
Significant proficiency in SQL and languages like Python, PySpark and/or Scala
Knowledge of deployment and scaling best practices
Effective technical communication to non-technical stakeholders
Experience in leading and mentoring junior associates
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field
Option 3: 6 years' experience in an analytics or related field
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)
Responsibilities
An exciting opportunity to work on GenAI to solve complex retail problems/challenges
Utilize deep learning methods and architectures to fine tune NLP models to make them intelligent
Work in a team of Data Scientist, collaborating with cross-functional teams in product, business, and engineering to address cutting edge retail problems with AI
Build NLP and/or recommendation systems
Develop data science models for retail & e-commerce
Deploy trained ML models into cloud for business/customers
Lead model development and guide team members through building, testing and deploying ML models at scale
Benefits
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more