Lead Data Scientist, Machine Learning Engineer 2025

Job not on LinkedIn

August 20

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Aimpoint Digital

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Artificial Intelligence • Analytics • Consulting

Aimpoint Digital is a market-leading analytics, data engineering, operations research, and Artificial Intelligence advisory and solution engineering firm. It empowers organizations to unlock value from data by providing strategic guidance, developing state-of-the-art AI solutions, and implementing cutting-edge analytics applications. Aimpoint Digital partners with various companies to enhance operations, drive data-driven decisions, and maximize ROI through personalized data strategies and optimization solutions.

51 - 200 employees

🤖 Artificial Intelligence

📋 Description

• Become a trusted advisor working with clients to design end-to-end analytical solutions • Work independently to solve complex data science use-cases across various industries • Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights • Write code in SQL, Python, and Spark following software engineering best practices • Collaborate with stakeholders and customers to ensure successful project delivery • Lead and contribute to our practice development and business development

🎯 Requirements

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience • Experience with building high quality Data Science models to solve a client's business problems • Experience with managing stakeholders and collaborating with customers • Strong written and verbal communication skills required • Ability to manage an individual workstream independently • 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) • Ability to apply data science methodologies and principles to real life projects • Expertise in software engineering concepts and best practices • Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people • Willingness to travel. • Want to stand out? Consulting Experience • Databricks Machine Learning Associate or Machine Learning Professional Certification. • Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc. • Experience with deep learning frameworks like TensorFlow or PyTorch. • Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. • Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions). • Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles). • Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. • Experience with generative AI and LLMs, such as LLamaIndex and LangChain • Understanding of MLOps or LLMOps. • Familiarity with Agile methodologies, preferably Scrum