Date Posted: 01/13/2025
Hiring Organization: Rose International
Position Number: 476549
Job Title: Data Scientist
Job Location: Oakland, CA, USA, 94612
Work Model: Hybrid
Employment Type: Permanent
Min Hourly Rate($): 90.00
Max Hourly Rate($): 100.00
Must Have Skills/Attributes: Artificial Intelligence (AI), Data Scientist, Generative AI/GenAI, Python
Nice To Have Skills/Attributes: Electric Utilities
Job Description
Minimum Education:
• Bachelor’s degree in data science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
Desired Education:
• Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
Minimum Work Experience:
• 6 years in data science (or no experience, if possess Doctoral Degree or higher, as described above)
• Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
• Active participation in the external data science/artificial intelligence/machine learning community of practice, as demonstrated through volunteering in professional organizations for the advancement of the field, presentations in conferences or publications to disseminate data science knowledge and topics, or similar activities
• Competency with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them
• Knowledge of industry trends and current issues in job-related area of responsibility as demonstrated through peer reviewed journal publications, conference presentations, open source contributions or similar activities
• Competency with commonly used data science and/or operations research programming languages, packages, and tools for building data science/machine learning models and algorithms
• Proficiency in explaining in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines
Job 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 and best practices in coding, statistical and probabilistic problem modeling, product scalability, AI/ML/GenAI model evaluation, and the like
• 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
• Development of governance documents (policy, standards, and processes) for emerging and disruptive technologies such as Generative AI, Foundational Models, automation, and hyper-automation technologies, etc. Keeping abreast of existing AI and other emerging technology regulations at the state and national level to pivot internal compliance
• Develop and maintain an emerging technologies evaluation toolkit to assess technology maturity level and its readiness for value realization of business goals. Current focus of said toolkit revolves around Generative AI and automated decision making by AI algorithms, monitoring elements such as model hallucinations and misinformation, training biases, etc.
• In cross-collaboration with the Enterprise Strategy and Architecture team, Functional Areas, and other players in product acquisition, support vendor and third-party proof of concept proposal and product assessment from a technical perspective, mainly (but not exclusively) on AI/ML/GenAI model design and approach, performance measure metrics, technical maturity, etc.
• Advise and consult delivery teams in the optimal implementation of advanced technologies as proof of concept, balancing risk, and innovation to accomplish business goals
• Support the identification and implementation of process improvement at the department (EDS&AI) level. Support the adoption of Lean methodologies across EDS&AI
• Support building data science capability by advising Hub teams as well as Spokes across the enterprise, with the end goal to contribute to improved decision-making in all functional areas
• Present findings and make recommendations to officers and cross-functional management
• Educate the internal community (including Executives) on emerging trends. Continuously monitor new technologies and assess their impact and potential disruption to business programs
• Effectively communicate a compelling vision of data science and AI/ML/GenAI technologies that add value to the company
• Build and maintain strong relationships with business units and external agencies
• Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets
• Extracts, transforms, and loads data from dissimilar sources from across client for their machine learning feature engineering
• Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development
• Writes and documents reusable python functions and modular python code for data science
• Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis
• Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value
• Presents findings and makes recommendations to senior management - **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Your team at Rose International is always very helpful and responsive.
Barbara, Consultant
I have been very pleased with my experience with Rose International. Everyone that I encountered was very helpful and courteous.
Stephanie, Consultant
I am very happy with the Rose International, and the professionalism of the employees.
Robin, Consultant
The interactions that I have had with your representatives have always been prompt and very professional. I am very pleased and impressed with your company and services.
Sioe, Consultant
My on-boarding with Rose was outstanding. The packets of information, the process, and great attention to detail each person gave me allowed me to get started quickly.I appreciated each person's friendly and helpful attitude.
Diana, Consultant
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