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Senior Data Scientist - Machine Learning (5-8 yrs) Bangalore (Analytics & Data | Scientist in 1

Connexions

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Senior Data Scientist - Machine Learning (5-8 yrs) Bangalore (Analytics & Data

Location:
Bangalore
Description:

Job Description :Role : Sr Data Scientist (Core ML) -BankQualification : B E / B Tech or Masters in StatisticsLocation : BangalorePreference : Masters and/or Certifications in AnalyticsExperience :- 5+ years of experience in data science and business analytics- Development of Predictive analytics models using machine learning and linear algorithms. - Should have worked on data science profiles in the past should have worked on classification, regression, and forecasting of business problem statements- Expertise in model training and validation to improve higher accuracy and model stability- Experience in maintaining analytics models and developing analytics governance frameworks - Should have worked in different technology stacks (Cloud/on Prem) for model deployment and production in working with business stakeholders and for the duration of analytics problems - Should have analytics delivery experience in Business Analytics, Data Science, and Natural Language processing - Prior experience in Big Data projects should have worked on banking use cases like cross-sell, upsell, customer retention, customer acquisition, customer servicing, personalization, ATM optimization, Branch analytics on Data assessment for analytics and building data foundations for analytics use cases. - Exposure to Artificial intelligence techniques and use cases- Experience in the use of language models (NLP) for business programming experience in PythonBrief Job Profile :- Senior Data scientists will develop and maintain statistical models, apply machine learning techniques, and build high-quality predictive/prescriptive systems. - The senior 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 to curate business problem statements and guide business priorities using data. - The data scientist will serve as a domain expert and will develop a rapport with our internal business partners as an essential, long-term part of the team.Skill & Competencies Requirement :- Proficiency in predictive modeling, feature engineering, Hypothesis testing, and Machine Learning (Decision Trees, GBM, XG-Boost, GLM modeling, Forecasting, Scorecard development, Clustering)- Proficiency in A/B Testing, campaign design, and scaling data science models into production-level models that can handle complex real-time data - Preferable experience in SAS /R/ SQL - Expertise in different analytics - Tech-stacks AWS Proficiency in analytics project management and working with business stakeholders in collating data from different sources, data mining, and data wrangling- Excellent communication skills with the ability to explain the problems/solutions with clarity must have good presentation skills (ref:hirist.tech)
Education/experience:
2 To 5 Years
Company:
Connexions
Posted:
June 19 on hirist
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