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Web Analytics & Machine Learning Specialist

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This role is for a Web Analytics & Machine Learning Specialist based in Lehi, UT (hybrid) for 12 months at $44.66/hour. Requires 2 years of experience in Adobe Analytics, machine learning application, and front-end development with node.js and react.js.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
352
🗓️ - Date discovered
April 3, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
San Jose, CA
🧠 - Skills detailed
#Data Science #ML (Machine Learning) #Clustering #Security #React #Data Engineering
Role description
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Job Title: Web Analytics & Machine Learning Specialist

Location: Lehi, UT 84043; open to candidates in San Jose, CA 95110 or San Francisco, CA 94107 (Hybrid)

Duration: 12 months

Contract Type: W2 only

Pay Rate: $44.66/Hour

Duties:

   • We are seeking a highly skilled Web Analytics & Machine Learning Specialist to join our dynamic team.

   • The ideal candidate will have expertise in web analytics platforms such as Adobe Analytics, Customer Journey Analytics, familiarity with the Adobe Experience Platform (AEP), and a solid grasp of machine learning (ML) principles and front end application development skills.

   • In this role, you will demonstrate your technical skills to drive data insights, enhance customer experiences, and support data engineering initiatives within the organization.

Required Skills:

   • 2 Years of Experience.

   • Web Analytics & Reporting: Lead and optimize Web Analytics ingestion tools, preferably Adobe Analytics/Customer Journey Analytics implementation for tracking, reporting, and analysis of digital marketing and website performance.

   • Machine Learning Understanding & Application security: Work alongside data scientists to apply ML techniques to digital analytics data, including predictive modelling, clustering, and segmentation.

   • Maintain an existing front-end web application using node.js, react.js

Education:

   • Bachelors degree in Engineering