Senior Data Scientist:

5+ years of relevant experience

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

- 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