Company Overview
In 2010, Swoon launched an agile, client-focused team that is not only savvy in our core industries but elbow-deep, every day, getting to know the strongest talent in the technology and professional fields. Today, Swoon is one of the fastest-growing talent and consulting firms in the U.S., Canada, Australia, and Mexico with an expanding client roster of Fortune 1000 companies, Best-of Awards, and legions of talent in our network. We are a WBENC-certified company founded by industry leaders with 100+ years of combined experience in temporary and direct-hire placements.
About the job
Be part of an American company, that has one of the largest combinations of natural gas and electric utilities in the United States.
Actively seeking an experienced Data Science Technical Lead to add to his amazing team!
- Hybrid: 2-3 days per week in office
· Location: Oakland, CA
· Full-time employment!
- Compensation: $160K (salary-based) open for negotiation based on experience
*ONLY W2 Candidates*
*NOT C2C*
TOP THINGS:
- Strong technical knowledge in data science, artificial intelligence (AI), machine learning (ML), and Generative AI (GenAI) algorithms.
- Experience in designing and implementing AI/ML models, with an emphasis on real-world applications, performance evaluation, and scaling solutions.
- Proficiency in coding and software engineering related to data science, including developing production-ready code and managing AI/ML model lifecycles.
Duties and Responsibilities
- As part of the centralized Hub team, support data science, AI/ML/GenAI, and advanced analytics Spokes across the company by spearheading the implementation of best practices in the development of AI/ML/GenAI and other advanced data science and analytics models, in aspects such as code engineering, best practices in coding, statistical and probabilistic problem modeling, product scalability, AI/ML/GenAI model evaluation, and more.
- Support the design, implementation, and continuous improvement of governance tools (policies, standards, and processes) for the effective and safe development of AI/ML/GenAI and data science models as a product. Continuously educate Spokes on governance requirements. Monitor compliance and escalate as needed.
- Develop governance documents (policy, standards, and processes) for emerging and disruptive technologies such as Generative AI, Foundational Models, automation, and hyper-automation technologies. Stay informed about existing AI and other emerging technology regulations at the state and national level to pivot internal compliance.
Qualifications
- Bachelor’s Degree or equivalent experience
- Job-related experience, 7 years
How to Apply:
APPLY