Data Scientist

Key Responsibilities:

·       Analyzing data patterns and trends through statistical methods to understand the underlying relationships within the data

·       Deep understanding of statistical modeling, machine learning algorithms, analytics concepts, and a track record of solving problems 

·       5 years of experience with developing ML models

·       Prior experience in ML modeling using TensorFlow, Pytorch

·       Model Development: Develop and deploy machine learning algorithms & models using Python and relevant libraries/frameworks

·       Data Preprocessing, Address missing data, outliers, and anomalies using Databricks’ robust data processing tools

·       Feature Engineering Development

·       Training Validation, Model Experimentation and Model Selection

·       Hyper parameter tuning

·       Presenting complex data insights through compelling visualizations like charts, graphs, and dashboards to effectively communicate findings to stakeholders

·       Interpreting data insights and translating them into actionable business recommendations

Minimum Requirements:

Education: Bachelor’s degree in computer science, Statistics, Mathematics, or related field.

Experience:

• Minimum of 3 years of experience in data science - centric roles with a strong focus on analytics, data science, and machine learning.
• Experience as Data Scientist in Freight / Logistics Industry is must.

Technical Skills:

·       Proficiency in Python, SQL, or PySpark with strong programming skills

·       Strong understanding of machine learning algorithms, model evaluation, and optimization techniques

·       Proven track record of developing and deploying models in Production