Data Scientist

Benefits:

• Competitive salary

Location
Remote


Experience Level
Senior Level (7 or more years of experience)


Role Overview
We are seeking a highly skilled Senior Data Scientist to join a fast-paced SaaS organization on a contract basis. This role is ideal for a hands-on data science professional with deep expertise in machine learning, Snowflake Cortex ML, Python, advanced SQL, and MLOps automation. The successful candidate will partner closely with business stakeholders to develop, optimize, and deploy production-grade machine learning solutions that drive business value. This is a 3 to 6-month contract with potential for permanent conversion, targeting a start date of August 1.


Key Responsibilities


Machine Learning & Data Science
• Design, develop, and enhance production-grade machine learning and predictive analytics models to solve complex SaaS business problems.
• Maintain, optimize, and evaluate existing ML models to ensure continuous improvements in accuracy, performance, and scalability.
• Apply statistical modeling and advanced machine learning techniques to extract actionable business insights from enterprise data.


Snowflake Cortex ML Development
• Develop, deploy, and scale machine learning solutions natively using Snowflake Cortex ML and its broader AI capabilities.
• Optimize model execution, feature engineering, and data processing architectures directly within the Snowflake ecosystem.
• Collaborate with data engineering and platform teams to seamlessly integrate Cortex ML and Snowpark workflows into production systems.


MLOps & Pipeline Automation
• Build, automate, and maintain robust end-to-end machine learning pipelines for model training, validation, and deployment.
• Implement and govern MLOps workflows to support automated model monitoring, versioning, retraining, and continuous integration/continuous delivery (CI/CD).
• Improve the reliability, automation, and scalability of production machine learning environments using Jupyter Notebooks and orchestration tools.


Data Integration & Stakeholder Collaboration
• Perform complex SQL-based data extraction, transformation, feature engineering, and integration of third-party data sources.
• Partner directly with cross-functional stakeholders in Product, Engineering, and Business teams to translate operational requirements into technical AI solutions.
• Document workflows and present clear technical findings, methodologies, and strategic recommendations to both technical and non-technical audiences.


Required Qualifications
• 7 or more years of professional experience in Data Science or Machine Learning.
• Demonstrated experience developing, optimizing, and supporting production-grade machine learning and predictive models.
• Strong industry experience within a Software-as-a-Service (SaaS) or modern digital product environment.
• Hands-on experience building and deploying machine learning solutions utilizing Snowflake Cortex ML.
• Expert-level programming skills in Python and advanced SQL querying.
• Proven experience establishing and automating MLOps pipelines, including model deployment, monitoring, versioning, and CI/CD.
• Strong background in data integration, data quality verification, and advanced feature engineering.
• Experience collaborating directly with business stakeholders to translate business needs into technical AI and ML solutions.


Preferred Qualifications
• Hands-on experience with Large Language Models (LLMs) or Generative AI integrations.
• Experience utilizing Snowpark and modern Snowflake AI/ML platform capabilities.
• Practical familiarity with Git, version control systems, and enterprise data pipelines.
• Experience using cloud-based AI platforms and advanced production analytics tools.


Core Skills & Attributes
• Exceptional analytical, problem-solving, and statistical modeling capabilities.
• Strong communication and presentation skills, with the ability to translate technical AI concepts into clear business value.
• Excellent stakeholder management and collaboration skills across cross-functional engineering, product, and business domains.
• Self-motivated with a strong attention to detail and the ability to operate independently in a fully remote environment.

This is a remote position.