Data Scientist(Logistics)

This role is for a Data Scientist in Bay Area, CA / Reno, NV, lasting 12+ months, with a pay rate of "unknown." Requires 5 years of ML model development experience, proficiency in Python and SQL, and expertise in the logistics industry.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 17, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
San Francisco Bay Area
🧠 - Skills detailed
#TensorFlow #PySpark #Python #Visualization #Libraries #PyTorch #Computer Science #SQL (Structured Query Language) #Data Processing #Mathematics #Model Evaluation #Statistics #Data Science #ML (Machine Learning) #Spark (Apache Spark) #Programming #Databricks
Role description
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We do have a Data Scientist role in Bay Area , CA / Reno , NV. Please find the Job Description below and kindly respond back with your updated resume.

Job Title: Data Scientist

Job Location: Bay Area , CA / Reno , NV

Duration: 12+ Months

Job Description:
• 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
• 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.