Design and implement scalable ML systems
Partner with the Data Engineering team on pipelines
Collaborate with the Productization & Adoption team to deploy models into production
Set technical standards
Mentor team members
Ensure solutions align with governance frameworks established by the Strategy & Governance team

Requirements

Bachelor’s degree required, with a concentration in Computer Science, Statistics, Engineering, Physics, or a related quantitative field preferred.
Master’s degree or other advanced degree preferred.
A minimum of 8 years of data science or machine learning experience with at least 5 years as a senior- or principal-level practitioner delivering models in production required.
Expert proficiency in Python programming language and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Strong foundation in statistics, causal inference, time series, and optimization with an ability to select appropriate methods for given problems.
Deep expertise in computer vision or geospatial/geographic information system modeling.
Experience with MLOps platforms and workflows (Databricks, MLflow, Azure ML, Amazon SageMaker, or Google Vertex AI), including experiment tracking and model registry.
Experience deploying models to production systems (application programming interfaces, streaming, batch workflows) with appropriate monitoring and alerting.
Familiarity with data platforms (Databricks or Snowflake) and enterprise systems (Salesforce CRM, Oracle Enterprise Resource Planning) preferred.
Strong written and oral communication skills, including the ability to present ideas and suggestions clearly and effectively.
Ability to work with different functional groups and levels of employees to effectively and professionally achieve results.
Strong organizational skills; ability to accomplish multiple tasks within the agreed-upon timeframes through effective prioritization of duties and functions in a fast-paced environment.

Benefits

healthcare coverage
401(k) savings plan
paid time off
company holidays
sick leave
parental leave
access to an Employee Assistance Program focused on mental and financial wellness

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

machine learningdata sciencePythonscikit-learnTensorFlowPyTorchstatisticscausal inferencetime seriesoptimization

Soft skills

mentoringcommunicationcollaborationorganizational skillsprioritization