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Artmac

Senior Data Scientist (Machine Learning & Predictive Modeling)

Artmac
United States · Contract · Mid-Senior
Who We Are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description

Job Title : Senior Data Scientist (Machine Learning & Predictive Modeling)

Job Type : C2C

Experience : 8-10 Years

Location : Dallas, Texas

Responsibilities

  • Minimum of 5 years of hands-on experience in predictive modeling, data analysis, and machine learning.
  • Minimum of 5 years of experience with programming in R, Python, Matlab, or similar languages.
  • Experience working in an Agile environment.
  • Familiarity with testing NoSQL databases like Cassandra.
  • Strong analytical and problem-solving skills with a resolution-oriented approach.
  • Excellent written and verbal communication skills.
  • Strong orientation toward modern technical trends and standards.
  • Develop and apply predictive models to analyze complex data and identify patterns using machine learning techniques.
  • Perform advanced statistical analysis and use machine learning algorithms to extract insights from data.
  • Write efficient code in languages like Python, R, or Matlab to implement machine-learning solutions and analyze data.
  • Work in an Agile environment with cross-functional teams to deliver timely and high-quality results.
  • Test and optimize data solutions using tools like Cassandra or other NoSQL databases.
  • Stay updated with modern standards, trends, and best practices in machine learning and data science.

Qualification

  • BS or MS in Computer Science, Mathematics, Statistics, or a similar quantitative field.

Key Skills

Ranked by relevance

c machine learning cassandra python matlab nosql sql lan san data analysis excel esp pan ha
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Country Guide

United States

World’s deepest and highest-paying tech market

Posted
Dec 18, 2024
Type
Contract
Level
Mid-Senior
Location
Dallas
Company
Artmac

Industries

Software Development

Categories

Engineering Information Technology

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