Senior Data Scientist

7 days ago

Bangalore, Karnataka, India Connexions Full time

Job Description : Sr Data Scientist (Core ML) -Bank


Qualification : B E / B Tech or Masters in : : Masters and/or Certifications in 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 Python

Brief 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)

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