Data Scientist

  • Reno, NV
  • Posted 42 days ago | Updated 22 days ago

Overview

On Site
$50 - $60
Contract - Independent
Contract - 12 Month(s)

Skills

Data Scientist
ML models
Python
SQL
PySpark
Databricks
Machine Learning

Job Details

Role: Data Scientist

Location: Bay Area, CA or Reno, NV(Weekly 5 days to Office)

Experience: 8+ years

Contract Duration: 12+ months

Visa: have worked in Trucking/Logistics/Freight companies

Job Description:

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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About Lawrence Ash