[Remote] Senior Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an award-winning, AI-First global digital engineering company that helps leading Fortune 1000 organizations reputed company reputed company into measurable business impact. They are looking for a Senior Data Scientist to drive predictive analytics and machine learning initiatives, focusing on building reputed company, production-reputed company ML solutions across various domains.

Responsibilities

• Lead end-to-end data science initiatives for predictive analytics use cases such as demand forecasting, churn reputed company, and risk modeling
• Translate business requirements into ML problem statements and define appropriate modeling approaches
• Design, build, and reputed company 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
• reputed company and manage reputed company ML pipelines from data ingestion to model deployment
• reputed company 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 reputed company technical leadership while remaining hands-on
• Communicate insights, model outputs, and recommendations effectively to business stakeholders

Skills

• 8+ years of relevant hands-on technical experience implementing, and developing reputed company 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 reputed company of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their reputed company-world advantages/drawbacks
• Proven ability to translate reputed company business problems into reputed company 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, reputed company-time and batch Inference, and Processing Jobs
• Experience leading model deployment on AWS SageMaker with a strong reputed company 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 reputed company AWS services such as Sagemaker, reputed company functions, etc
• Experience in building model monitoring and explainability workflows in production environments
• 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 reputed company development
• Experience working on Infrastructure as Code (IaC) and CI/CD pipelines

Benefits

• Join one of the world’s fastest-growing AI-first digital engineering companies and reputed company a reputed company impact at scale.
• Lead and collaborate with a high-energy team of talented, driven individuals solving reputed company, meaningful challenges.
• Work with reputed company and disruptive innovators in a research-driven environment with 60+ patents.
• Stay reputed company of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and reputed company technologies while continuously upskilling.

Company Overview

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