Data Scientist - Insurance (6-9 yrs)

- Develop data processing scripts using SQL and be able to optimize complex sequences of SQL Queries

- Perform data analysis for complex use cases using SQL document technical specification for the cognitive applications that we are creating for the customers

- Design, train, and deliver Data Science solutions using all modalities (tabular) and of all sizes (small, or big data)

- Explore data and communicate insights clearly to non-technical as well as technical audiences

- Analyze experimental results, iterate and refine models to create significant business impact.

- Python, data analysis and any predictions(if applicable) done via python

Requirements

- More than 3 years of experience in SQL, Python as Data Scientist

- Proficiency in databases (SQL Server, MySQL) and skills in one or more languages like SQL, MDX, T-SQL with knowledge of DDL, DML, stored procedures, triggers and performance tuning is a MUST.

- Exposure to statistical methodologies like EDA, hypothesis testing, Significance Testing, Linear Regression, Logistic Regression, Random Forest, Time Series analysis basic concepts of NLP, KNN, K-Means etc.

- Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.

- Experience in analysis of A|B experiments and statistical data analysis

- Experience designing and building metrics, from conception to building prototypes with data pipelines.

- Ability to drive data strategies, with a central source of truth to impact business decisions.

- Proven experience as a Data Scientist or similar role

- Expert ability to write robust code in Python.

- Expert skill at manipulating data frames using Pandas and arrays using NumPy.

- Familiarity with standard machine learning libraries (like scikit-learn, Stats Models)

- Excellent communication and presentation skillsc.