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Job Role : Data Scientist with Logistics role
Location: Onsite – Bay Area , CA or Reno, NV

Duration: 12 months

Start Date : Immediate

Worked at a Trucking/Logistics/Freight companies: Uber Freight, Con-way, CH Robinson, Coyote Logistics, Flexport are some examples

 JD  

·       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