Demo

Data Scientist

Avanciers
San Mateo, CA Full Time
POSTED ON 1/25/2025
AVAILABLE BEFORE 4/20/2025

Location : Bay Area , CA / Reno, NV. No remote

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

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
  • 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.
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