
Job Overview
Location
USA - Remote
Job Type
Full-time
Category
Data Science
Date Posted
April 16, 2026
Full Job Description
📋 Description
- • Senior Data Scientist role focused on driving predictive analytics and machine learning initiatives for enterprise use cases, building scalable, production-ready ML solutions using traditional techniques across forecasting, risk modeling, and customer analytics.
- • Day-to-day responsibilities include leading end-to-end data science projects, translating business needs into ML problem statements, designing and deploying models using regression, classification, clustering, and time series methods, managing ML pipelines on AWS SageMaker, ensuring model performance through monitoring and retraining, collaborating with engineering teams, and mentoring junior staff.
- • Quantiphi is an award-winning, AI-First digital engineering and consulting company with 4,000+ professionals globally, recognized as a Great Place to Work for three consecutive years, and an Elite partner to NVIDIA, Google Cloud, AWS, and Snowflake, delivering high-impact AI solutions across industries like BFSI, Healthcare, and Manufacturing.
- • The role offers opportunities to lead impactful AI initiatives, gain hands-on experience with cutting-edge ML and cloud technologies, develop technical leadership skills, and work on real-world problems with Fortune 500 clients while advancing expertise in MLOps, model governance, and responsible AI.
Skills & Technologies
About Quantiphi, Inc.
Quantiphi is an AI-first digital engineering company that builds data-driven solutions for enterprises across healthcare, financial services, retail and public sector. The firm combines machine learning, cloud platforms and industry expertise to create scalable products that enhance decision-making, automate processes and optimize operations. Headquartered in Marlborough, Massachusetts, Quantiphi operates globally with offices in North America, Europe and Asia, serving Fortune 500 clients through outcome-based engagements that integrate data engineering, applied AI and managed services.
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