Data Scientist AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist AI/ML Engineer with 10+ years of experience, based in Bellevue, WA. Contract length is unspecified, with a focus on model development, NLP, and causal inference techniques. Key skills include deep learning, A/B testing, and scalable solutions.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 21, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Bellevue, WA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Science #Deep Learning #Time Series #Transformers #ML (Machine Learning) #Propensity Scoring #Classification #Scala #Forecasting #A/B Testing #NLP (Natural Language Processing) #Deployment #AI (Artificial Intelligence) #Regression
Role description
Position : Gen AI /ML Engineer (10 plus years )
Location : Bellevue,WA ,Day one Onsite
Job description
Model Development & Deployment
Lead the end-to-end design, training, and deployment of machine learning, deep learning, and generative Al models (e.g., LLMs, transformers, embeddings) to address core business problems.
Build scalable solutions for time series forecasting. classification, regression, recommendation systems, and NLP applications.
Ensure models are explainable, reproducible, and compliant with governance standards (e.g., model cards, fairness audits).
Business Collaboration
Partner with cross-functional teams (product, engineering, marketing, operations) to identify and scope high-impact opportunities where data science and Al can drive measurable business outcomes.
Translate strategic objectives into actionable analytical initiatives with clearly defined success metrics and timelines.
Experimentation & Causal Inference
Design and analyze A/B tests, quasi-experiments, and longitudinal studies to assess the impact of product changes and campaigns.
Implement causal inference techniques such as propensity scoring, double machine learning. difference-in-differences, and uplift modelling to estimate treatment effects and incremental gains
Position : Gen AI /ML Engineer (10 plus years )
Location : Bellevue,WA ,Day one Onsite
Job description
Model Development & Deployment
Lead the end-to-end design, training, and deployment of machine learning, deep learning, and generative Al models (e.g., LLMs, transformers, embeddings) to address core business problems.
Build scalable solutions for time series forecasting. classification, regression, recommendation systems, and NLP applications.
Ensure models are explainable, reproducible, and compliant with governance standards (e.g., model cards, fairness audits).
Business Collaboration
Partner with cross-functional teams (product, engineering, marketing, operations) to identify and scope high-impact opportunities where data science and Al can drive measurable business outcomes.
Translate strategic objectives into actionable analytical initiatives with clearly defined success metrics and timelines.
Experimentation & Causal Inference
Design and analyze A/B tests, quasi-experiments, and longitudinal studies to assess the impact of product changes and campaigns.
Implement causal inference techniques such as propensity scoring, double machine learning. difference-in-differences, and uplift modelling to estimate treatment effects and incremental gains
