Overview
On Site
$60 - $70
Accepts corp to corp applications
Contract - Independent
Contract - W2
Unable to Provide Sponsorship
Skills
ETL
AI/ML
Tableau
snowflake
Job Details
Hi Folk's,
Need local consultant only + 12 years exp
Title: Data Scientist Technical Lead AI/ML & Data Platforms
Location: Sunnyvale, CA (Local candidates)
Experience: 12+ years
Skill Matrix Rating is needed for the below areas:
Skill Area | Specific Skill | Description | Rating / 10 |
Data Engineering | Data Pipeline Review | Ability to review ETL processes and identify architectural or quality issues | |
Data Aggregation & Semantics | Understand and optimize data aggregation logic and business semantics | ||
Snowflake (Data Warehouse) | Hands-on experience with data modeling, performance tuning, and secure data sharing in Snowflake | ||
Analytics & Reporting | Tableau Dashboard Creation | Design and build interactive, insightful dashboards using Tableau | |
AI Foundations | AI Project Management | Experience leading and delivering AI projects from planning to production | |
LLM Model Experience | Practical use or integration of Large Language Models. | ||
RAG (Retrieval-Augmented Generation) Development | practical knowledge of RAG pipelines | ||
Leadership & Oversight | Technical Review & Mentorship | Guide architecture, code reviews, and best practices for the engineering team |
Key Responsibilities:
- Coordinate multiple workstreams in parallel, ensuring timely and high-quality delivery.
- Conduct and facilitate daily stand-ups across global time zones, maintaining visibility and accountability.
- Deeply understand business domains and the technical architecture, enabling informed decision-making and risk identification.
- Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate goals into actionable plans.
- Track progress using Agile or hybrid methodologies, escalating blockers and resolving dependencies.
- Own the lifecycle of tasks from planning through execution, delivery, and retrospectives.
- Perform technical reviews of data pipelines and ETL processes, identifying architectural or data quality issues.
- Evaluate and optimize data aggregation logic while ensuring alignment with business semantics.
- Contribute to the design and development of Retrieval-Augmented Generation (RAG) pipelines and workflows involving Large Language Models (LLMs).
- Ability to create Tableau reports and dashboards aligned with business KPIs.
Required Skills:
- Strong grasp of data pipelines, data
architecture, and analytics platforms (e.g., Snowflake, Tableau). - Experience in reviewing and optimizing data
transformations, aggregations, and business logic. - Hands-on familiarity with LLMs and practical implementation of RAG-based AI systems.
- Familiarity with AI/ML workflows, model lifecycle, and experimentation frameworks.
- Experience managing complex, multi-track projects.
- Skilled in project tracking tools like Jira, Confluence, or equivalent.
- Excellent communication and coordination across technical and non-technical teams.
- Proven experience working with cross-functional, globally distributed teams.
Additional Skills:
- Exposure to cloud platforms (AWS, Google Cloud Platform, Azure) and modern DevOps practices.
- Capable of creating executive-level dashboards and summaries.
- Strong analytical and problem-solving mindset.
- Understanding of semantic layers and their role in consistent business logic interpretation.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.