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