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