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2 Weeks ago

Data Scientist

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Chennai, Tamil Nadu, India
Information Technology
Other
CEdge Inc

Overview

Job Description for Senior Data Scientist:
5+ years of relevant experience Insights. Campaigns. Results.As a senior data scientist, you will be deploying advanced algorithms to build predictive models, create or apply frameworks and take your team of data scientists down the right path to solve a business problem.

Job Role:
  • Data scientist will develop and maintain statistical models, apply machine learning techniques and build high-quality predictive/prescriptive systems.
  • The Sr data scientist will also make technology and business recommendations, as well as develop key insights based on data analysis.
  • The candidate must be able to partner with business stakeholders in order to curate business problem statements and guide which business priorities using data.
Skills:
  • Proficiency in predictive modeling, feature engineering, Hypothesis testing and Machine Learning (Decision Trees, GBM, XG-Boost, GLM modeling, Forecasting, Scorecard development, Clustering)
  • Experience in A/B Testing, campaign design and scaling data science models into production level model that can handle complex real-time data
  • Hands on programming experience on Python-
  • Good to have experience in SAS /R/ SQL-
  • Experience in working on different analytics Tech-stacks (AWS/ Azure/ GCP)- Experience in analytics project management and working with business stakeholders- Expertise in collating data from different sources, data mining and data wrangling-
  • Must have good presentation skills
Experience:
  • Development of Predictive analytics models using machine learning and linear algorithms.
  • Have worked on classification, regression, and forecasting business problem statements
  • Expertise in model training and validation to improve higher accuracy and model stability
  • Experience in maintaining analytics model and develop analytics governance frameworks Insights. Campaigns. Results.
  • Have worked in different technology stacks (Cloud/on Prem) for model deployment and production
  • Experience in working with business stakeholders and for curation of analytics problems
  • Must have analytics delivery experience on Business Analytics, Data science, and Natural Language processing- Prior experience in Big Data projects
  • Must have worked on banking use cases like cross sell, upsell, customer retention, customer acquisition, customer servicing, personalization, ATM optimization, Branch analytics
  • Own Data assessment for analytics and building data foundations for analytics use cases.
  • Exposure to Artificial intelligence techniques and use cases
  • Experience in use of language models (NLP) for business
  • 5+ experience in data science and business analytics
Academic Qualifications:
  • Engineering / BTech or Masters in Statistics
  • Good to have Masters and/or Certifications in Analytics
  • Must have worked with as data science profiles in the past
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