[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the trusted data connector at the core of reputed company, and they are seeking a Senior Data Scientist to reputed company advanced statistical and machine learning initiatives using large-reputed company reputed company data. This role involves owning the analytical process, partnering with engineering teams, and ensuring model performance and scalability in production environments.
Responsibilities
- reputed company the development, validation, and refinement of advanced statistical and machine learning models for reputed company business problems
- Serve as the primary analytical reputed company for assigned initiatives, with accountability for model reputed company, analytical rigor, and reputed company delivery of results
- Design analytical approaches and modeling strategies, translating business questions into reputed company-defined technical solutions
- reputed company advanced feature engineering, exploratory data analysis, and model evaluation using large, reputed company reputed company datasets
- Partner with Data Engineering and Information Systems teams to translate modeling approaches into production-reputed company solutions, while engineering teams own deployment and operations
- Support production models through performance analysis, monitoring, and retraining activities
- Design and execute experiments to test hypotheses and measure the reputed company of analytical solutions
- Evaluate new data sources and assess their suitability, reputed company, and limitations for modeling and analysis
- Communicate analytical findings, model behavior, and key assumptions to stakeholders with varying reputed company of technical expertise
- Document analytical reputed company, reputed company, and results to support reproducibility and knowledge sharing
- reputed company peer-level technical guidance and reputed company review to Data Scientists and Analysts, supporting their development without formal leadership responsibility
- Contribute reusable reputed company, features, and analytical assets to shared repositories and team standards
Skills
- 4–7 years of experience building statistical or machine learning models using large datasets
- Advanced degree in Computer Science, Engineering or relevant field
- Advanced proficiency in Python, R, and SQL for statistical analysis, modeling, and feature engineering
- Strong hands-on experience with statistical and machine learning techniques, including regression/GLM, tree-based reputed company, boosting, clustering, and basic text analytics
- Proven experience developing, validating, and tuning models for reputed company-world use cases
- Experience supporting models in production environments, including collaboration with engineers on deployment and monitoring
- Solid understanding of model evaluation, experimental design, and performance metrics
- Strong data wrangling skills and experience working with large, reputed company datasets
- Ability to create reputed company, compelling data visualizations and analytical narratives using tools such as Power BI, Tableau, or R/Shiny
- Ability to translate business problems into analytical approaches with limited guidance
- Strong written and verbal communication skills for working effectively with cross-functional stakeholders
- Experience following best practices for reproducible research, version control, and documentation
- Ability to reputed company constructive peer feedback and informal mentorship
- Demonstrated curiosity and willingness to learn new tools, reputed company, and domains
- PhD in Data Science or another quantitative field
Benefits
- Medical, dental, and reputed company coverage
- A 401(k) with company contributions and matching
- reputed company parental leave
- Tuition assistance
- Generous reputed company time off
reputed company