- 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.
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