EverCommerce is hiring a Lead Data Scientist, Machine Learning Engineer to join our decision sciences practice. In this role, you will focus on delivering client solutions through machine learning and statistical modeling. You will work independently on engagements, design end-to-end analytical solutions, and contribute to business development and practice growth.

What You'll Do

Become a trusted advisor to clients, designing complete analytical solutions.
Solve complex data science use-cases independently across various industries.
Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate analytical insights.
Write production code in SQL, Python, and Spark following software engineering best practices.
Collaborate with stakeholders and customers to ensure project success.
Contribute to practice development, business development, and innovative company initiatives.

What We're Looking For

A degree in Computer Science, Engineering, Mathematics, or equivalent experience.
Experience building high-quality Data Science models to solve client business problems.
Proven ability to manage stakeholders and collaborate with customers.
Strong written and verbal communication skills.
Ability to manage an individual workstream independently.
3+ years of experience developing and deploying ML models on platforms like Azure, AWS, GCP, or Databricks.
Ability to apply data science methodologies and principles to real-world projects.
Expertise in software engineering concepts and best practices.
A self-starter who can work independently and lead projects, initiatives, or people.
Willingness to travel.

Nice to Have

Consulting experience.
Databricks Machine Learning Associate or Professional Certification.
Familiarity with traditional ML tools such as Python, SKLearn, XGBoost, SparkML.
Experience with deep learning frameworks like TensorFlow or PyTorch.
Knowledge of ML model deployment options (Azure Functions, FastAPI, Kubernetes) for real-time and batch processing.
Experience with CI/CD pipelines (DevOps pipelines, GitHub Actions).
Knowledge of infrastructure as code (Terraform, ARM Template, Databricks Asset Bundles).
Understanding of advanced ML techniques, including graph-based processing, computer vision, NLP, 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.

Technical Stack

Languages: SQL, Python, Spark
Platforms & Services: Databricks, Azure, AWS, GCP
ML Frameworks: SKLearn, XGBoost, SparkML, TensorFlow, PyTorch
Deployment & Ops: Azure Functions, FastAPI, Kubernetes, GitHub Actions, Terraform, ARM Template, Databricks Asset Bundles
AI Tools: LLamaIndex, LangChain

Team & Environment

You will be part of the decision sciences practice within Aimpoint Digital. We foster a collaborative, fast-paced environment focused on driving value and solving real business problems. Our culture emphasizes being both a teacher and a student, enabling clients and upskilling teammates.