Job Description:

Key Responsibilities : 

1. Convert a business problem into a data-driven ML solution

2. Develop, Manage, and architect ML and advanced analytics models

3. Examine data from multiple sources and share insights

4. Act as Subject Matter Expert in the area of data science

5. Experiment design, evaluation, creation and analysis of dashboards/reports and evaluation, defining metrics

6. Product Leadership: influencing product teams through the presentation of data-based recommendations, communicating the state of business, experiment results

Technical Experience : 

1. End-to-end knowledge of the Life Cycle of the ML Model

2. Use of Python as a Data Science tool kit

3. Strong Programming skills in Python for Data ETL activities

4. Expertise in Python to deploy ML and Advanced analytics models

5. Ability to derive insights from analytical and ML models

6. Knowledge of Statistics: hypothesis testing, regression

7. Data Infrastructure: Hadoop and Hive, MySQL, Oracle, Vertica, and automating analyses and authoring pipelines via SQL

8. Hands-on experience in Python and PySpark

Professional Attributes : 

1. Good in Team Handling

2. Good in verbal, Written communication

Qualifications:

15 years of full-time education