Galactic Minds INC
Overview
Senior Talent acquisition specialist at Galactic minds INC 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 Responsibilities
Lead the end-to-end design, training, and deployment of machine learning, deep learning, and generative AI 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). Partner with cross-functional teams (product, engineering, marketing, operations) to identify and scope high-impact opportunities where data science and AI can drive measurable business outcomes. Translate strategic objectives into actionable analytical initiatives with clearly defined success metrics and timelines. 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. Seniority and Employment
Senior level: Mid-Senior level Employment type: Contract Job function and Industry
Job function: Information Technology Industries: IT Services and IT Consulting Notes: The original listing includes various location salary postings and additional roles. This refined description focuses on the defined Data Scientist Gen AI/ML Engineer role and its immediate responsibilities and requirements.
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Senior Talent acquisition specialist at Galactic minds INC 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 Responsibilities
Lead the end-to-end design, training, and deployment of machine learning, deep learning, and generative AI 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). Partner with cross-functional teams (product, engineering, marketing, operations) to identify and scope high-impact opportunities where data science and AI can drive measurable business outcomes. Translate strategic objectives into actionable analytical initiatives with clearly defined success metrics and timelines. 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. Seniority and Employment
Senior level: Mid-Senior level Employment type: Contract Job function and Industry
Job function: Information Technology Industries: IT Services and IT Consulting Notes: The original listing includes various location salary postings and additional roles. This refined description focuses on the defined Data Scientist Gen AI/ML Engineer role and its immediate responsibilities and requirements.
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