Sr Developer

• 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

Analytical Skills:

• Robust analytical and problem-solving skills with a solid foundation in statistical methods
• Expertise in translating business issues into data-driven solutions using Databricks
• Data Science Developer
• Machine Learning, Data Brick, Python

Skills Required
Pyspark, Machine Learning Algorithms, Sql, Python