Data Scientist with Traditional ML
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with Traditional ML expertise, requiring 10+ years of experience, based in Bellevue, WA. Key skills include ETL, model development, A/B testing, and NLP. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 26, 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
#Deployment #Time Series #Scala #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #AI (Artificial Intelligence) #Deep Learning #Forecasting #NLP (Natural Language Processing) #Data Science #Propensity Scoring #Regression #Data Modeling #Classification #A/B Testing #Transformers
Role description
Position : Data scientist Gen AI/ML Engineer Traditional ML exp required (10 plus years )
Location : Bellevue,WA ,Day one Onsite
ETL Data Modeling, Data science and AI/ML
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 : Data scientist Gen AI/ML Engineer Traditional ML exp required (10 plus years )
Location : Bellevue,WA ,Day one Onsite
ETL Data Modeling, Data science and AI/ML
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
