Data Scientist - Statistical Modeling (5-10 yrs)

Job Description :

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 to curate business problem statements and guide which business priorities using data.

Skills :

- 5 to 10 experience in data science and business analytics.

- Exposure to Artificial intelligence techniques and use cases.

- Experience in use of language models (NLP) for business.

- 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 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.

- 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.

Academic Qualifications :

- Engineering / BTech or Masters in Statistics.

- Good to have master's and/or Certifications in Analytics.

- Must have worked with as data science profiles in the past.