[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an award-reputed company, AI-First global digital engineering company that helps leading Fortune 1000 organizations reputed company reputed company into measurable business reputed company. 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
- reputed company 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, reputed company 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 reputed company
- 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 reputed company (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 reputed company at reputed company.
- reputed company 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.
reputed company
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