Motion Recruitment
Base pay range
$65.00/hr - $70.00/hr Direct message the job poster from Motion Recruitment Motion recruitment has partnered with a retail ecommerce client and is seeking a Data Analyst specialized in Machine Learning and Artificial Intelligence. About the Role
This role involves working closely with data to support the Machine Learning pipeline, requiring a strong foundation in statistical techniques and data analysis. Location: Onsite Duration: 12 months with possible extension Type: W-2 Contract Only – C2C, third-party, or sponsorship arrangements are not supported at this time. Interview: Onsite Local candidates are encouraged to apply as the job requires an onsite interview. 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. Required Skills
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. Preferred Skills
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. Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices. Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
Retail Benefits
401(k) Medical insurance Vision insurance
#J-18808-Ljbffr
$65.00/hr - $70.00/hr Direct message the job poster from Motion Recruitment Motion recruitment has partnered with a retail ecommerce client and is seeking a Data Analyst specialized in Machine Learning and Artificial Intelligence. About the Role
This role involves working closely with data to support the Machine Learning pipeline, requiring a strong foundation in statistical techniques and data analysis. Location: Onsite Duration: 12 months with possible extension Type: W-2 Contract Only – C2C, third-party, or sponsorship arrangements are not supported at this time. Interview: Onsite Local candidates are encouraged to apply as the job requires an onsite interview. 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. Required Skills
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. Preferred Skills
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. Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices. Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
Retail Benefits
401(k) Medical insurance Vision insurance
#J-18808-Ljbffr