Bangalore, Karnataka, India
Information Technology
Full-Time
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
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.
- 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
- 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
- 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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