Sr/Staff Data Scientist (Remote - US)

Requirements

• Minimum 6 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 clearly and effectively.
• In-depth experience with data science cloud platforms and their integration into business solutions.
• Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment.
• Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies.
• Strong communication skills to articulate technical concepts to diverse audiences with clarity 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 prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies.
• Experience with Vector Databases and embeddings.
• Experience with Model Fine-tuning.
• Experience with GPU optimization.

Responsibilities

• Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models.
• Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems.
• Lead the development and deployment of advanced machine learning models to forecast outcomes 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.
• Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision.
• Keep abreast of emerging trends and breakthroughs in data science and machine learning fields.
• Proficiently extract, aggregate, and transform 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.
• Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring.

Benefits

Skills