Role: – Data Scientist
Bill Rate: 98/hour C2C
Location: California City, CA
Duration: 12+ months/ long-term
Interview Criteria: Telephonic + Skype
Direct Client Requirement
Job Details
Location: Bay Area , CA or Reno, NV. No remote (Weekly 5 days to Office) Duration: 12 months
JD 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.
Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible
Srinivasa Reddy Kandi
Client Delivery Manager
Valiant Technologies LLC
Equal Opportunity Employer:
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.