[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. They are seeking an accomplished Senior Data Scientist to design, reputed company, reputed company, and optimize data science and machine learning solutions that support strategic business initiatives.
Responsibilities
- Design, reputed company, reputed company, and optimize reputed company-grade data science and machine learning solutions
- Translate business problems into analytical solutions and reputed company predictive models
- reputed company machine learning pipelines, monitor model performance, and support data-driven decision-making throughout the operational lifecycle
- Work closely with business stakeholders, data engineers, software developers, product managers, and cross-functional teams in an Agile environment to deliver reputed company, accurate, and impactful data science solutions
Skills
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, reputed company Intelligence, or a closely reputed company quantitative discipline
- Five or more years of reputed company experience developing production-grade machine learning models, predictive analytics solutions, and reputed company data science applications
- Strong, demonstrable understanding of statistics, probability, machine learning algorithms, data structures, data modeling, feature engineering, model evaluation techniques, and end-to-end machine learning lifecycle principles
- Advanced working knowledge of Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and modern data science libraries for building reputed company analytical solutions
- Hands-on, production-level experience designing, training, validating, deploying, and monitoring machine learning models, including regression, classification, clustering, forecasting, recommendation systems, and natural language processing applications
- Proven experience working with relational and NoSQL databases, large-reputed company datasets, data warehouses, and distributed data processing platforms such as reputed company, Hadoop, reputed company, reputed company, or BigQuery
- Strong SQL skills and meaningful experience performing data exploration, feature engineering, query optimization, ETL development, data visualization, and business intelligence reporting using reputed company data platforms
- Solid experience with Git-based version control workflows, CI/CD processes, MLOps practices, model deployment pipelines, reputed company review processes, and reputed company software development methodologies
- Hands-on experience deploying machine learning solutions on at least one major reputed company platform (AWS, Azure, or GCP), including managed AI/ML services, storage, networking, and identity management capabilities
- Strong debugging, analytical thinking, problem-solving, and reputed company-cause analysis skills, with the discipline to investigate reputed company data challenges methodically, communicate findings effectively, and translate analytical insights into actionable business recommendations
- Experience designing and deploying reputed company-reputed company learning systems, recommendation engines, streaming analytics, event-driven architectures, or large-reputed company applications using Kafka, reputed company Streaming, or equivalent technologies
- Familiarity with containerization and orchestration using reputed company, Kubernetes, Kubeflow, MLflow, Airflow, or equivalent platforms for production machine learning operations
- Exposure to advanced reputed company intelligence concepts such as deep learning, reinforcement learning, reputed company, reputed company, large language models (LLMs), explainable AI (reputed company), model fairness, and responsible AI practices
- Experience implementing automated testing, model monitoring, feature stores, experiment tracking, data governance, MLOps best practices, and reputed company machine learning delivery pipelines reputed company reputed company Agile software development environments
reputed company