Senior Data Analyst – On-Site ML & Databricks (Contract)

Catalyte; Irving (TX); On-site; USD 75,768 - 82,656; Full time

Job summary

A leading tech company is seeking a Senior Data Analyst for an on-site contract position in Irving, TX. The role involves analyzing data for machine learning models, visualizing insights, and optimizing data methodologies. Ideal candidates will have over 5 years of experience, particularly within the Databricks ecosystem, and strong statistical knowledge. A Bachelor's degree in a relevant field is required. This opportunity offers robust engagement with innovative technologies and cross-disciplinary collaboration.

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 with statistical techniques for analyzing data.
• 4+ years in manipulating big data using Python, PySpark, or SQL.
• Expertise with data visualization tools in Python, PowerBI, etc.
• Bachelor’s Degree or higher in Computer Science/Engineering/Math or relevant experience.

Responsibilities

• Interpreting data and analyzing results using statistical techniques.
• Developing data analyses and collection systems to optimize efficiency.
• Acquiring data from sources and maintaining databases.
• Measuring results of AI Models.
• Building analysis and visualizations for Machine Learning pipeline.
• Staying updated with emerging technologies.
• Collaborating with peers across disciplines.
• Delivering high-quality research and engineering work.

Job description

A leading tech company is seeking a Senior Data Analyst for an on-site contract position in Irving, TX. The role involves analyzing data for machine learning models, visualizing insights, and optimizing data methodologies. Ideal candidates will have over 5 years of experience, particularly within the Databricks ecosystem, and strong statistical knowledge. A Bachelor's degree in a relevant field is required. This opportunity offers robust engagement with innovative technologies and cross-disciplinary collaboration.