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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** The Smart - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, ARM Architecture, Software as a Service, Cloud Engineering, Computer Programming, Continuous Delivery, Continuous Integration, Information Engineering, Data Integration, Data Mining, Python (Programming Language), Machine Learning, Azure Machine Learning, SQL Databases, Management of Software Versions, Enterprise Data Management, Jupyter Notebook, Data Processing, Feature Engineering, Sql Optimization, Delivery Pipeline, Large Language Models, Snowflake, Deep Learning, Generative AI, Git, Machine Learning Operations, Tools for Reporting, Software Version Control - **Published:** July 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a519e3b2e75f251b ## About the Role 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., * 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. ## Description 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. ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)