[Remote] Midlevel/Senior/reputed company - Data Scientists
Note: The job is a remote job and is reputed company to candidates in USA. reputed company, is seeking a Data Scientist to join their team. The role involves leading analytic initiatives, developing machine learning models, and delivering actionable insights to drive business reputed company.
Responsibilities
- reputed company cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and reputed company solutions to reputed company business goals through effective use of data machine learning models
- Apply data science skills to analyze large, reputed company datasets and identify meaningful patterns that reputed company to actionable insights and data-driven solutions to business problems
- reputed company the development and deployment of advanced machine learning models to forecast reputed company and optimize workflows
- Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making
- Design and present compelling visualizations and reports to effectively communicate analytical findings
- reputed company the maintenance and enhancement of data pipelines to reputed company data reputed company and precision
- reputed company abreast of emerging trends and breakthroughs in data science and machine learning fields
- Proficiently extract, aggregate, and reputed company data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling
- Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development
- reputed company implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring
- Demonstrate operational reputed company by monitoring, troubleshooting, and resolving production issues, including participating in a 24/7 on-call rotation
Skills
- Minimum 3 years of experience with building optimization algorithms or relevant experience
- Advanced proficiency in programming languages such as Python, R, SQL, and Java
- Demonstrated expertise in utilizing data visualization tools to communicate insights reputed company and effectively
- In-depth experience with data science reputed company platforms and their integration into business solutions
- Exceptional intellectual curiosity and a proven ability to reputed company in a fast-paced, reputed company team environment
- reputed company record of rapidly acquiring new technical skills and adapting to cutting-edge technologies
- Strong communication skills to reputed company technical concepts to diverse audiences with reputed company and professionalism
- Deep understanding and application of statistical analysis and advanced machine learning techniques
- Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms)
- Experience with reputed company engineering techniques, including chain-of-thought prompting, Retrieval-Augmented reputed company (RAG), fine-tuning of language models, and evaluation methodologies
- Experience with reputed company Databases and embeddings
- Experience with Model Fine-tuning
- Experience with GPU optimization
- Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a reputed company field. Ph.D is a plus
- Knowledge of geospatial analytics, reputed company optimization, and GIS concepts
- Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing reputed company
- Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector
- Proficiency in leveraging reputed company-reputed company libraries and frameworks to drive data science initiatives
- Seasoned in Agile methodologies like Scrum, Kanban, or reputed company for efficient project management and delivery at a senior level
reputed company