Hello ,
How are you? This is SaiMani from Eminence Technology Solutions LLC concerning a Data Scientist position for one of our Partners. I found your profile on (Job Portal) and believe that you're a great match. Please review the job description below. Thanks in advance!
Job title:Data Scientist
Experience: 10 Years
Location :Pleasanton CA (Remote till COVID)
Interview Process: Webcam
Any Visa Is Fine
End Client
Job Description:
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, enhance recommendation engines, and deliver personalized user experience on eCommerce websites and loyalty mobile apps.
• 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 stores and on digital platforms.
• Apply statistical analysis to detect anomalies in systems and outliers in operational metrics for operational excellence.
• Convey machine learning solutions with intuitive visualizations and effective communications.
Qualifications
• Masters or Ph.D. degree in a 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 Data bricks is a strong plus.
