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Data Analysis Jobs in Oakland, CA

Principal Data Scientist

inSync Staffing

Oakland, CA

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JOB DETAILS
SALARY
$100–$155 Per Hour
SKILLS
Agile Programming Methodologies, Algorithms, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Best Practices, Business Analysis, Business Case, Civil Engineering, Climate Change, Coaching, Code Reviews, Communication Skills, Computer Science, Consulting, Data Analysis, Data Entry, Data Mining, Data Modeling, Data Processing, Data Science, Data Sets, Database Extract Transform and Load (ETL), Deep Learning, Electrical Engineering, Electrical Utility, Electricity, Experiment Design, Industry/Trade Analysis, Machine Learning, Mechanical Engineering, Mentoring, Meteorology, Metrics, Model Review, Open Source, Performance Modeling, Physics, Predictive Modeling, Problem Solving Skills, Procedure Implementation, Process Modeling, Product Development, Publications, Python Programming/Scripting Language, Retirement Plan, Risk, Risk Analysis, Risk Management, Risk Modeling, Scripting (Scripting Languages), Software Engineering, Statistical Modeling, Statistical Reports, Statistics, Strategic Planning, Structured Data, Time Series Analysis, Training/Teaching, Trend Analysis, Unstructured Data, Use Cases, User Interface/Experience (UI/UX)
LOCATION
Oakland, CA
POSTED
4 days ago
Principal Data Scientist
LOCAL CANDIDATES ONLY. The role is hybrid, Onsite in Oakland 1 day per week
Duration: 1 year contract
Pay Range: $100.00/hour - $155.00/hour W2

TOP THINGS: Pyspark Proficiency, User Interface Development Proficiency, & Strong Cross-Functional Collaboration Skills

Department Overview
The aim of the Undergrounding Risk Management team in the Undergrounding & System Hardening organization is to enhance the risk practices of Electric Operation business and thereby address changing external conditions such as climate change. To this end the Electric Risk Management & Analytics team develops, maintains, and applies predictive models to enable the client to close the gap between metrics and electric system performance. These models provide a multi-layered view of risk and risk reduction across the electric system so that decision-making processes include and empower employees at all levels of the company to manage risk appropriately.

Sample activities include:
" Quantification of wildfire mitigation program performance on the distribution and transmission electric system.
" Development of predictive models using Python or PySpark and executed in Foundry or AWS.
" Interpretation and representation of meteorological data in models that combine a range of data sources such as the electric system asset data, vegetation, and meteorology.
" Designing statistical methodology and architecting programmatic solutions to utilize risk model outputs for business use cases.

Position Summary
Leads the design, development, and execution of scripts, programs, models, user interfaces, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating for defensible, valid, scalable, reproducible and documented machine learning and artificial intelligence models (predictive or optimization) for problem solving and strategy development. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions.

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 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
" Architects, develops, and documents reusable functions and modular 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 stakeholder 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.
" Act as peer reviewer of complex models

Qualifications
Minimum:
" Master s Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.
" Experience in Data Science, 8 years or 2 years experience, if possess Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.

Desired:
" Doctorate Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.
" Expertise in experimental design and causal inference methods.
" Expertise in statistical methods for time series analysis, statistical modeling, and probabilistic risk assessment.
" Relevant industry experience (electric or gas utility, data science consulting, etc.)
" Familiarity with the use of supervised, unsupervised, deep learning & physics-based methods for modeling electrical infrastructure failure modes.
" 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 Agile product development best practices.
" Proficiency with Python or Pyspark, code reviews, and code development best practices.
" 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
" Ability to develop, coach, teach and/or mentor others to meet both their career goals and the organization goals

Benefits: (employee contribution)
Health insurance
Health savings account
Dental insurance
Vision insurance
Flexible spending accounts
Life insurance
Retirement plan

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

About the Company

i

inSync Staffing

We recognize the VMS program management team is our customer and needs to be serviced with integrity, so we built and continue to improve upon our delivery methods as we strive to provide the highest quality service possible. inSync Staffing’s management team recognized ten years ago the inevitable changes to the staffing industry being brought about by technology and the growing trend of Fortune 1000 corporations to outsource management of their contingent workforces to meet compliance and cost control goals. Rather than swim upstream against the changes, inSync Staffing has embraced MSP and VMS programs as our customers, not competitors. We asked program managers how they want to be serviced. The result of their input is that we have structured inSync Staffing as a recruiting and customer service organization, unlike traditional staffing companies who sell directly to the end client. Our delivery model allows us concentrates our resources on how to best supply candidates in a very competitive MSP/VMS program environment.
COMPANY SIZE
50 to 99 employees
INDUSTRY
Staffing/Employment Agencies
FOUNDED
2014
WEBSITE
http://www.insyncstaffing.com/default.html

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