
B2B • SaaS • Software Engineering
Alto is a company that builds purpose-driven software teams to execute challenging projects for innovative tech companies. They provide a talent management engine that allows companies to quickly find and hire tech teams suited for their projects, managing all the administrative tasks associated with team management. With a global pool of certified experts, Alto aims to streamline the hiring process, allowing companies to scale their development efforts efficiently and effectively.
51 - 200 employees
Founded 2015
🤝 B2B
☁️ SaaS
November 7
🎰 Nevada – Remote
🏖️ New Jersey – Remote
+3 more states
💵 $240k - $285k / year
⏰ Full Time
🔴 Lead
📊 Data Scientist
🦅 H1B Visa Sponsor

B2B • SaaS • Software Engineering
Alto is a company that builds purpose-driven software teams to execute challenging projects for innovative tech companies. They provide a talent management engine that allows companies to quickly find and hire tech teams suited for their projects, managing all the administrative tasks associated with team management. With a global pool of certified experts, Alto aims to streamline the hiring process, allowing companies to scale their development efforts efficiently and effectively.
51 - 200 employees
Founded 2015
🤝 B2B
☁️ SaaS
• Lead the development and execution of Alto’s data science, analytics, DevSecOps, and AI strategy in close partnership with the CTO and other executive leaders. • Build and lead high-performing teams across data science, data engineering, business intelligence, and analytics functions. • Establish and maintain a unified data platform, ensuring data accessibility, quality, and governance across the organization. • Partner cross-functionally with Product, Engineering, Operations, and Growth teams to enable data-driven decisions that improve patient experience, operational efficiency, and clinical outcomes. • Advance our use of machine learning and AI to optimize logistics, personalize patient engagement, and drive predictive insights across the business.
• Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or related field. • 12+ years of progressive experience in data science, data engineering, or analytics, 10+ years in senior leadership roles managing large data teams. • Proven success in developing and implementing enterprise-wide data and analytics strategies at scale, ideally within healthcare, healthtech, pharmacy, or logistics-focused organizations. • Deep expertise in machine learning, predictive modeling, and AI applications in business contexts. • Strong understanding of modern data architecture, cloud platforms (e.g., GCP, AWS, Snowflake), and analytics tools (e.g., Looker, dbt, Airflow). • Excellent communication and stakeholder management skills; able to translate technical insights into business impact. • Proficiency with collaboration and productivity tools (Slack, GSuite, Jira, etc.). • Master’s or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Engineering, Operations Research, or related) (preferred). • Experience scaling data and analytics functions in high-growth or multi-site organizations (preferred). • Strong understanding of healthcare data systems, EHRs, or pharmacy fulfillment workflows (preferred). • Demonstrated success in leveraging AI and data science to transform customer or patient experiences (preferred). • Passion for mission-driven work that improves healthcare access, affordability, and outcomes.
• dental, vision, and multiple group medical plans to choose from • 401(k) retirement savings plan • group life insurance • accidental death and dismemberment (AD&D) insurance • flexible spending account (FSA) and health savings account (HSA) • commuter benefits • employer-paid short-term (STD) and long-term disability (LTD) insurance • additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, and a fertility medication discount program) • flexible vacation time • accrued paid sick time • 11 paid holidays (seven for Pharmacy and Care team members) • eight weeks of paid parental leave for eligible employees
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