Position Expired
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[Remote] Lead Data Scientist, Machine Learning Engineer 2025
Aimpoint Digital
Note: The job is a remote job and is open to candidates in USA. Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. As a Lead Data Scientist, you will enable clients to get the most out of their data by designing analytical solutions and training them on managing these solutions.
Responsibilities
- 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
Skills
- 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
- 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
Company Overview
- Aimpoint Digital Provides expertise needed to take analytics at your organization to the next level. It was founded in 2017, and is headquartered in Boston, Massachusetts, USA, with a workforce of 51-200 employees. Its website is https://aimpointdigital.com/.
Company H1B Sponsorship
- Aimpoint Digital has a track record of offering H1B sponsorships, with 19 in 2025, 2 in 2024, 3 in 2023, 7 in 2022, 1 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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