Lead Data Scientist

hace 5 días

Medellín, Antioquia, Colombia Aimpoint Digital A tiempo completo
About Aimpoint Digital

Aimpoint Digital is a premier analytics consulting firm dedicated to driving business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure.

Job Summary

We are seeking a highly skilled Lead Data Scientist to join our decision sciences practice, focusing on delivering solutions via machine learning and statistical modeling. As a key member of our team, you will work with clients to build value-driving solutions that extract insights and train them on how to manage and maintain these solutions.

Key Responsibilities
  • Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights
  • Work independently to solve complex data science use-cases across various industries
  • Collaborate with stakeholders and customers to ensure successful project delivery
  • Write code in SQL, Python, and Spark following software engineering best practices
Requirements
  • Databricks experience is required
  • Degree in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with building high-quality Data Science models using Databricks ML to solve client's business problems
  • Experience in deploying models via model serving within Databricks
  • 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 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
Preferred Qualifications
  • 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, Git 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
What We Offer

We are actively seeking candidates for full-time, remote work within the US, the UK, or Colombia.

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