UX Metrics & Behavioral Data Scientist ML Engineer *** Direct End Client *** - Projas Technologies, LLC - Portland, OR, US | Dice.com

Projas Technologies, LLC

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UX Metrics & Behavioral Data Scientist ML Engineer * Direct End Client *

Portland, OR, US • Posted 60+ days ago • Updated 19 minutes ago

Contract W2

Contract Independent

On-site

Depends on Experience

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Job Details

Skills

UX Metrics
UX Analytics
Behavioral Data
Data Science
SQL
Python
Causal Inference
Experimentation Design
Predictive Modeling
Survey Data
Data Warehouse
Machine Learning
Natural Language Processing
UX Research
Human-Computer Interaction
User Experience
Stakeholder Communication
UX Reporting
Text Analysis
Advanced Analytics
UX Strategy
Artificial Intelligence
Analytics
Data Manipulation
Data Modeling
Design Of Experiments
HCI
Jupyter
Machine Learning (ML)
Modeling
Predictive Modelling
R
Reporting
Statistics
AI

Summary

Seeking a highly experienced resource to lead the development and validation of site-wide UX metrics, reporting systems, and behavioral data modeling. This is a strategic and hands-on role for someone with deep expertise in UX measurement, data science, and cross-functional collaboration.

You will work closely with UX researchers, product managers, data engineers, and business stakeholders to build a system that accurately measures and predicts user experience outcomes using both survey and behavioral data.

Key Responsibilities

Design, develop, and validate quantitative UX metrics across the product ecosystem.
Build scalable reporting systems to track UX performance and trends.
Merge and model survey data with behavioral data from the data warehouse.
Apply statistical testing, causal inference, and predictive modeling to UX datasets.
Collaborate with cross-functional teams to align metrics with business and product goals.
Explore and apply ML/AI techniques to extract patterns from raw text data (e.g., open-ended survey responses).
Translate complex data into actionable insights for technical and non-technical audiences.

Required Skills & Qualifications

6+ years of experience in UX analytics, data science, or behavioral research.
Proven experience in UX metric development and validation.
Advanced proficiency in SQL and Python for data manipulation and modeling.
Strong foundation in statistical analysis, causal inference, and experimental design.
Experience working with survey data, user behavior logs, and data warehouses.
Excellent communication and stakeholder engagement skills.
Master s or PhD in a relevant field (e.g., HCI, Data Science, Psychology, Statistics).

Nice to Have

Experience applying machine learning or natural language processing (NLP) to analyze raw text data.
Familiarity with tools like R, Jupyter, Tableau, or Looker.
Background in predictive UX modeling or goal-setting frameworks.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10126850
Position Id: #UX-DS#
Posted 30+ days ago

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UX Metrics & Behavioral Data Scientist ML Engineer *** Direct End Client ***

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