Machine Learning Data Scientist – Research Translation, Prototyping

Job not on LinkedIn

🔥 12 hours ago

☕ Washington – Remote

☕ Washington – Remote

💵 $145k - $155k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Blueprint

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🛒 Retail

Retail • Financial Services • Health & Life Sciences

Blueprint is a technology consulting firm that helps organizations modernize their data platforms and accelerate AI adoption. They specialize in Databricks and lakehouse solutions, data migrations (including Snowflake-to-Databricks), data governance and Unity Catalog, cloud and infrastructure, generative AI (AI Factory), analytics, application development, and video analytics. Blueprint focuses on delivering fast time-to-value with accelerators like the Lakehouse Optimizer and Augmented FinOps, serving enterprise clients across regulated and data-intensive industries.

📋 Description

• Collaborate with research, engineering, and cross-functional teams to evaluate emerging AI and machine learning technologies and determine their practical value. • Design, develop, and implement machine learning models, AI-powered applications, and experimental systems. • Build rapid prototypes and proof-of-concept solutions to validate new technologies and research concepts. • Fine-tune, benchmark, validate, and improve machine learning models using real-world datasets. • Develop evaluation frameworks, benchmarks, and success metrics for AI systems, foundation models, generative AI solutions, multimodal experiences, and agent-based workflows. • Design and execute quantitative and qualitative experiments to assess model performance, user engagement, technology adoption, and overall effectiveness. • Analyze system requirements, document technical specifications, and develop software solutions aligned with project objectives. • Gather, process, and analyze data to generate actionable insights and support decision-making. • Evaluate, troubleshoot, and improve machine learning pipelines, AI systems, and software implementations. • Develop, test, and maintain software applications and supporting infrastructure. • Create and execute test plans, perform unit testing, and support quality assurance efforts. • Support deployment, validation, and post-implementation monitoring of solutions, resolving issues identified during testing and rollout. • Stay current with advancements in machine learning, generative AI, multimodal systems, agentic workflows, and related research areas to identify opportunities for innovation and application.

🎯 Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a related technical field. • 5–7+ years of professional experience in machine learning, data science, applied AI, software engineering, or a related discipline. • Strong experience developing machine learning models and AI-powered solutions. • Demonstrated experience with data science methodologies, experimentation, model evaluation, and statistical analysis. • Hands-on software engineering experience, including coding, debugging, testing, and deployment. • Experience building data-intensive applications, machine learning systems, experimentation platforms, or AI-enabled products. • Strong programming skills and the ability to diagnose and resolve technical issues. • Experience evaluating, improving, and maintaining machine learning models, data pipelines, and AI applications. • Ability to quickly learn new technologies, adapt to changing priorities, and contribute effectively in ambiguous, fast-moving environments. • Strong communication skills with the ability to explain technical concepts and findings to both technical and non-technical audiences. • Experience working collaboratively across research, engineering, product, and business teams.

🏖️ Benefits

• Medical, dental, and vision coverage • Flexible Spending Account • 401k program • Competitive PTO offerings • Parental Leave • Opportunities for professional growth and development