Lead Data Scientist

Job Description

Bachelors degree in a STEM field such as Statistics Math Engineering Information
Systems etc.

8years of work experience in data/business analysis analytics data
visualization reporting machine learning predictive modeling or data engineering.
Proficient in scikitlearn and other similar machine learning and statistical packages.
8years of work experience in Python/PySpark for data extraction
transformation and analysis
8years of work experience in querying data using SQL and BI tools.
8years of work experience in databases and pulling data with table joins.
8years of work experience with cloud platforms such as AWS.
Good communication and presentation skills to explain technical solutions to either
technical peers or nontechnical stakeholders.

Job Responsibilities

The main responsibilities include:

1. Work with Analytics and Business Intelligence teams to understand data fields
definitions KPIs various business metrics that are tacked by stakeholders and the
workflows that transform the data.
2. Work with Data Engineers Machine Learning Engineers and Architects to perform
efficient data exploration leverage appropriate tools and functions for data processing
and build automation pipelines that perform machine learning at scale and output quality
data for further downstream use cases.
3. Work with Product/Business owners to understand the needs for data and AI solutions
define business rules and logic and test solution performance. Be a data advisor when it
comes to using data to solve a business problem.
4. Use Python and other open source frameworks to visualize analyze and model data.
Proficient with statistical modeling machine learning algorithms and when/how they
should be incorporated in real world applications.