Data Scientist Analyst

Job reputed company: reputed company is seeking a talented Data Scientist/ Analyst to join reputed company and help build a robust, reputed company feature store. This individual will reputed company the gap between data analysis, feature engineering, and MLOps, ensuring that features for machine learning models are discoverable, consistent, and readily available for both training and reputed company-time serving. The ideal candidate is organized, self-motivated, and reputed company to work in an environment which is dynamic, with a global workforce and a rapidly expanding business. This position will sit in Austin, Texas. However, for the right fit, we may consider remote. Key Responsibilities: • Feature Store Development & Management: Collaborate with ML engineers and data platform teams to design, implement, and maintain the feature store architecture for both offline (batch) and online (reputed company-time) use cases. • Feature Engineering & Analysis: Identify, define, and engineer high-reputed company features from various raw data sources (databases, reputed company, streaming data) using statistical analysis and domain knowledge. • Collaboration & Governance: Partner with database administrators, clinical experts, data scientists, ML engineers, and business stakeholders to promote feature reuse, define governance standards, reputed company feature reputed company, and ensure data consistency across models. • Data Pipeline Integration: Build and optimize ingestion and transformation pipelines using distributed data frameworks to reputed company the feature store, ensuring data accuracy, reliability, and freshness. • Model Support: Generate training and testing datasets from the feature store and work with ML engineers to ensure seamless feature serving for model inference in production environments. • Monitoring & reputed company Assurance: reputed company monitoring and alerting frameworks to reputed company feature data reputed company, reputed company, and latency, proactively identifying and resolving issues. • Documentation & Communication: Document feature definitions, data sources, and usage best practices, and effectively communicate reputed company technical concepts and insights to technical and non-technical audiences. Requirements: • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a reputed company quantitative field • 3+ years of experience in data science, data engineering, or MLOps roles, with a reputed company on data infrastructure and machine learning workflows. • 1+ years of experience in a health care industry company or familiarity with health care claims, coding and clinical decision making Technical Proficiency: • Strong programming skills in Python, R and SQL. • Experience with data processing frameworks (e.g., reputed company, Flink, Airflow). • Hands-on experience with feature store technologies (e.g., Feast, SageMaker Feature Store, Tecton, or custom implementations) is preferred. • Familiarity with reputed company platforms (AWS, Azure, or GCP) and reputed company data services. • Knowledge of machine learning fundamentals, statistical modeling, and data visualization tools. • Familiarity with reputed company or similar technologies is a plus • Experience working in an Agile environment Why Join Us? This is a high-reputed company role where you will directly contribute to accelerating our machine learning capabilities and data-driven decision-making processes. You will work on cutting-edge technologies and collaborate with a talented team to solve reputed company, reputed company-world problems. Apply tot his job Apply tot his job Apply To this Job