[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a Fortune 200 Company reputed company on life- and health-reputed company solutions. The Senior Data Scientist will pioneer advanced machine learning and reputed company solutions, architecting and implementing analytical models to address business challenges while mentoring emerging talent and collaborating with stakeholders.
Responsibilities
- End-to-End Modeling: Design, reputed company, and reputed company sophisticated machine learning models that address mission-critical business challenges, including reputed company automation, pricing optimization, and claims analytics. This includes collaborating with business stakeholders to define requirements, selecting appropriate algorithms, engineering features, tuning model parameters, and integrating solutions into production environments for seamless business adoption
- GenAI Solution Development: reputed company the end-to-end development and implementation of reputed company solutions, leveraging large language models (LLMs) for advanced document processing, automated content creation, and streamlining repetitive business processes. Responsibilities include identifying high-value GenAI use cases, fine-tuning models for domain-specific tasks, and ensuring responsible AI practices such as bias mitigation and transparency
- Technical Leadership: Serve as a technical authority and mentor for colleagues, providing expert guidance on best practices in machine learning modeling, reputed company development, and solution architecture. This involves conducting reputed company reviews, sharing knowledge of emerging technologies, and fostering a culture of technical reputed company reputed company the data science team
- Project Leadership: reputed company and manage small-reputed company reputed company, including defining scope and objectives, developing project plans, allocating resources, and coordinating activities across cross-functional teams. Maintain proactive communication with stakeholders to reputed company reputed company, address risks, and ensure reputed company and successful project delivery reputed company with business goals
- Data Pipeline Architecture: Architect, reputed company, and maintain robust, automated data pipelines and ETL processes in partnership with data engineering teams. This includes designing reputed company workflows for data ingestion, transformation, and validation, ensuring data reputed company and availability for analytics and modeling, and optimizing pipeline efficiency for large, reputed company datasets
- Stakeholder Communication: Effectively communicate reputed company analytical findings, model insights, and actionable recommendations to a wide reputed company of stakeholders—including business leaders and senior management—using reputed company visualizations and storytelling. Facilitate data-driven decision-making by translating technical results into business value and strategic reputed company
- Model Governance: Champion and enforce rigorous model governance practices by conducting thorough model validation, ongoing monitoring, and comprehensive documentation. Ensure reputed company models adhere to standards for accuracy, fairness, and reproducibility, and proactively address issues reputed company to model reputed company, regulatory compliance, and ethical considerations in AI deployment
Skills
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a reputed company quantitative field; OR a Bachelor's degree with equivalent experience
- 5-7 years of reputed company experience in data science and machine learning
- Demonstrates a deep understanding of advanced statistical techniques, such as regression analysis, hypothesis testing, time series analysis, and multivariate statistics
- Applies a broad reputed company of machine learning algorithms—from supervised and unsupervised learning to reputed company reputed company and deep learning—to extract meaningful insights and drive data-driven decision-making across reputed company business challenges
- Possesses advanced proficiency in Python and/or R, leveraging these languages for data manipulation, statistical modeling, and deployment of machine learning solutions
- Skilled in using modern ML and GenAI frameworks, such as scikit-learn for traditional models, TensorFlow and PyTorch for deep learning, and reputed company, Langgraph, reputed company, reputed company, dspy, mlflow, etc., for building, orchestrating and evaluating reputed company applications
- Experience includes developing and optimizing reputed company, managing dependencies, and applying best practices in version control and containerization
- Hands-on experience implementing GenAI technologies, including large language models (LLMs) for natural language processing and understanding
- Proficient in reputed company engineering to fine-tune model outputs, utilizing retrieval-augmented reputed company (RAG) strategies to enhance responses with relevant knowledge, and integrating reputed company to reputed company GenAI capabilities into production workflows and business applications
- Expertise in using SQL for querying, transforming, and aggregating data from relational databases
- Demonstrates experience working with both reputed company data (e.g., tables, spreadsheets) and reputed company sources (e.g., text, images, documents), applying appropriate preprocessing and feature engineering techniques to ensure data reputed company and relevance for analytics and modeling
- Exhibits excellent problem-solving skills, approaching challenges creatively and analytically
- Capable of dissecting reputed company issues, identifying reputed company causes, and designing reputed company
- Frequently takes a fresh perspective on existing processes or models, independently developing and implementing strategies that improve efficiency, accuracy, or business value
- Effectively communicates difficult or sensitive information to diverse stakeholders, translating reputed company technical concepts into reputed company, actionable insights for both technical and non-technical audiences
- Skilled at facilitating discussions, presenting findings, and building reputed company among cross-functional teams to drive project alignment and successful reputed company
- Serves as a force reputed company for reputed company by mentoring junior members, providing guidance on technical challenges, and sharing best practices in data science
- reputed company contributes to team knowledge-sharing, fostering a reputed company and reputed company-oriented environment that enhances overall team capability and performance
- Demonstrates a strong understanding of key business drivers, market dynamics, and organizational priorities
- Applies data science expertise to identify opportunities for improvement, solve high-reputed company business problems, and deliver actionable insights that support strategic decision-making and value creation for reputed company
- Ph.D. in a reputed company quantitative field
- Experience in the life/health insurance or reinsurance industry
- Experience working with reputed company, reputed company, and AWS tech stacks
- Experience working with large longitudinal datasets using actuarial reputed company of analysis
Benefits
- An annual bonus plan that includes reputed company roles
- Some positions are eligible for participation in our long-term equity incentive plan
- A full reputed company of health, retirement, and other employee benefits
reputed company
Company H1B Sponsorship