Job Description

Data Scientist Oakland, CA, US, 94612 Hybrid (As per the business need) Direct Hire The role is hybrid working from your remote office and in-person based on business needs or company requirements. Description: 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. Support the People s Organization (HRBP & Compensation) in the analysis of data science competencies, continuously monitoring the evolution of the industry and advising on skill fitness to current data science work planned enterprise-wide. Continuous dissemination and active participation in the internal and external data science community of practice, leading the development of knowledge that advances the field. Leading emerging communities of practice (such as the Generative AI CoP) to disseminate knowledge and generate networks internally and externally. 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. Additional General Job Responsibilities Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. 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. Wrangles and prepares data as input of machine learning model development and feature engineering. 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. Acts as peer reviewer of complex models. Qualifications 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). Desired Work Experience: Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience Knowledge, Skills, Abilities and (Technical) Competencies: 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. Mastery in clearly communicating complex technical details and insights to colleagues and stakeholders. Mastery of the mathematical and statistical fields that underpin data science. Ability to develop, coach, teach and/or mentor others to meet both their career goals and the organization goals. About Us: Established in 2004, SPECTRAFORCE is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRAFORCE is built on a concept of human connection, defined by our branding attitude of NEWJOBPHORIA , which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at: Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law. Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at if you require reasonable accommodation. California Applicant Notice: SPECTRAFORCE is committed to complying with the California Privacy Rights Act ( CPRA ) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting . LA County, CA Applicant Notice: If you are selected for this position with SPECTRAFORCE, your offer is contingent upon the satisfactory completion of several requirements, including but not limited to, a criminal background check. We consider qualified applicants with arrest or conviction records for employment in accordance with all local ordinances and state laws, including the Los Angeles County Fair Chance Ordinance for Employers (FCO) and the California Fair Chance Act (FCA). The background check assessment will consider whether a criminal history could reasonably have a direct, adverse impact on the job-related safety, security, trust, regulatory compliance, or suitability for this role. Such findings may result in withdrawal of a conditional job offer. At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's starting pay is: $9.50/daily. 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. Report this job Dice Id: 10119021 Position Id: 8512429

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