While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Quantiphi:Quantiphi is an award-winning, AI-First global digital engineering company that helps the world's leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies-we solve the problems that matter most to our clients.
Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
- 21 Google Cloud Partner of the Year awards in the past 10 years
- 3 AWS AI/ML Partner of the Year awards
- 3 NVIDIA Partner of the Year awards
- 3 Snowflake Partner of the Year awards
- Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms
Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.
We are also proud to be certified as a Great Place to Work-reflecting our commitment to our people and our culture.
For more details, visit: Website or LinkedIn Page
Role: Senior Data Scientist (AWS)
Experience Level: 8+ years
Employment type: Full Time
Location: Remote (USA)
Description:- We are looking for a Senior Data Scientist to drive predictive analytics and machine learning initiatives for enterprise use cases. This role focuses on building scalable, production-ready ML solutions using traditional machine learning techniques across domains such as forecasting, risk modeling, and customer analytics.
- The ideal candidate will be a hands-on leader who can translate business problems into data-driven solutions, define modeling strategies, and lead end-to-end implementation on AWS while ensuring measurable business impact.
What you will do:- Lead end-to-end data science initiatives for predictive analytics use cases such as demand forecasting, churn prediction, and risk modeling.
- Translate business requirements into ML problem statements and define appropriate modeling approaches.
- Design, build, and deploy machine learning models using traditional ML techniques (regression, classification, clustering, time series).
- Drive feature engineering, data preparation, and exploratory data analysis to improve model performance.
- Develop and manage scalable ML pipelines from data ingestion to model deployment.
- Deploy and manage models on AWS using services such as SageMaker.
- Ensure model performance through validation, monitoring, and periodic retraining.
- Collaborate with data engineering and MLOps teams to productionize ML solutions.
- Apply best practices for model governance, explainability, and responsible AI.
- Mentor junior data scientists and provide technical leadership while remaining hands-on.
- Communicate insights, model outputs, and recommendations effectively to business stakeholders.
Basic Qualifications (BQ):- 8+ years of relevant hands-on technical experience implementing, and developing cloud solutions on AWS.
- Strong experience leading predictive analytics initiatives using traditional ML techniques including regression, classification, clustering, and time series forecasting.
- Hands-on experience with time series forecasting models including SARIMA, Prophet, and other ML-based forecasting approaches.
- Proficiency in Python with experience in libraries such as scikit-learn, XGBoost, Pandas, NumPy.
- Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Proven ability to translate complex business problems into scalable ML solutions, driving feature engineering strategies and end-to-end model development.
- Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.
- Experience leading model deployment on AWS SageMaker with a strong focus on performance optimization, model governance, and measurable business impact.
- Implement and manage MLOps based model lifecycle and best practices for ML architecture in production environments.
- Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
- Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.
- Experience in building model monitoring and explainability workflows in production environments.
Other Qualifications (OQ):- Experience defining and driving model governance frameworks and performance monitoring strategies in production environments.
- Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
- Experience with Generative AI development.
- Experience working on Infrastructure as Code (IaC) and CI/CD pipelines
What is in it for you:- Join one of the world's fastest-growing AI-first digital engineering companies and make a real impact at scale.
- Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
- Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
- Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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