Siri Infosolutions Inc
Looking for Senior Data Analyst Digital AI (13123) – Irving, TX 75063 (Onsite)
Siri Infosolutions Inc, Irving, Texas, United States, 75084
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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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.
#J-18808-Ljbffr