Information Technology_USA - USA_Data Scientist

Overview

On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Contract - 6+ mo(s)

Skills

SKILLS TO BE ASSIGNED

Job Details

Location: Sunnyvale, CA
Duration: 6 months

Education:
Masters or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field.
Experience:

  • 5+ years of experience in data science, analytics, or a related field.
  • Experience on applications in Manufacturing desirable
Technical Skills:
  • Proficiency in programming languages such as Python or R.
  • Proficiency in statistical/empirical model building
  • Extensive experience with time series data, analysis, and modeling
  • Strong knowledge of statistical principles and machine learning techniques (e.g., regression, classification, clustering, neural networks).
  • Experience with data manipulation and analysis using libraries such as pandas, NumPy, and SciPy
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
  • Experience with SQL and relational databases.
  • Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
Additional Skills (Preferred):
  • Experience in deploying AI based solutions in manufacturing environment
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
  • Familiarity with version control systems (e.g., Git).
  • Data Analysis: Analyze large, complex datasets to identify trends, patterns, and insights that inform business decisions.
  • Model Development: Develop, implement, and validate predictive models and machine learning algorithms to solve various business problems.
  • Data Cleaning: Preprocess and clean data to ensure its quality and integrity before analysis.
  • Visualization: Create data visualizations and dashboards to communicate findings to stakeholders in a clear and concise manner.
  • Collaboration: Work closely with cross-functional teams, including engineering, product management, and marketing, to understand their data needs and provide relevant insights.
  • Reporting: Generate comprehensive reports and presentations that summarize key findings and recommendations."

~NumPy, and SciPy, time series data, analysis, and modeling~
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