Looking for Senior Data Analyst Digital AI (13123) - Irving, TX 75063 (Onsite)

Overview

On Site
Full Time
Contract - W2
Contract - of exten(s)ion

Skills

Python
Azure
machine learning
databricks

Job Details

Role: Senior Data Analyst Digital AI (13123)

Location: Irving, TX 75063 (Onsite)

Contract Length: 12+ months with a possibility of extension

Tax Term: W2

Any Independent Visa Can Work

About the job:

  • You will be responsible for analyzing data that we feed into our machine learning models and analyzing data from production to gather critical and intuitive insights to improve our models and algorithms.
  • You will also be visualizing these insights and help communicate results to the business effectively.
  • Analysts have solid technical background but enjoy learning new languages, technologies, and frameworks.
  • Data Analysts use Databricks as their primary tool to derive valuable insights and provide them back to the business.

Key Responsibilities:

  • Research, prototype, and build analysis and visualizations for our Machine Learning pipeline.
  • Stay up to date with emerging technology and learn new technologies/libraries/frameworks
  • Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, and systems design
  • Deliver on time with a high bar on quality of research, innovation and engineering

Basic Qualifications:

  • Strong knowledge of statistical techniques and advanced mathematics.
  • 3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred).
  • 5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data specifically around experimental design, KPI calculation, and A/B testing.
  • 4+ years of experience in manipulating big data using Python, PySpark, or SQL.
  • Expert Experience with data visualization tools in Python, PowerBI, etc.
  • Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience.

Preferred Qualifications:

  • Master's Degree or higher in Computer Science/Engineering/Math, or relevant experience
  • Experience working with Machine Learning models evaluation, observability, and performance monitoring.
  • Experience working closely with a business team to determine primary KPIs on an ambiguous problem.
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