Careers

The Senior UX designer is a member of the Platform Development Team and is responsible for implementing a best in class user experience and visual design for CSE’s custom client solutions. CSE solutions include application processing platforms for clean energy incentive programs, such as California’s Clean Vehicle Rebate Project (CVRP). These solutions include a front-end CMS system and back-end Salesforce and document storage systems. The Senior UX Designer collaborates with clients, program/project managers, business analysts and frontend/backend developers to build wireframes and mockups and is an integral member of the Platform Development Team.


Essential Functions and Responsibilities: 

· Work with end-users, Project Managers, Business Analysts and Developers to define functionality and translate specifications into mockups and wireframes. 
· Conduct user research to identify user personas and understand problems/needs.
· Suggest user stories and requirements that need to be considered for implementation. 
· Design solutions to create smooth user flows and user interactions.
· Convey vision and concepts through both low- and high-fidelity wireframes, flows, storyboards and mockups. 
· Create best-in-class websites in terms of ease of use and look and feel. 
· Own the entire design process across varied development methodologies (i.e., Waterfall, Agile, Scrum). ·
Test website and applications to ensure adherence to design specifications prior to release. 
· Conduct usability testing and validation via one on one interactions or focus groups. 


Role Specific Responsibilities 
QUALIFICATIONS Essential Knowledge, Skills and Abilities: 

Required 
· Fluency in design tools such as Axure, Invision, Balsamiq, Photoshop and Illustrator
· Possess a keen eye for aesthetics and enjoy making beautiful web pages with a strong understanding of composition, balance, symmetry and white space. Experience with Waterfall, Agile and Scrum team development environments. 
· Must have an outstanding portfolio of innovative, creative and functional designs.
· Ability to work in a fast-paced environment and multi-task on a variety of projects simultaneously. 
· Demonstrated fluency in using standard office software packages (MS Office: Access, Excel, Word, PowerPoint, Outlook). · Excellent oral and written communication skills. 
· Self-starter and ability to work with both a team and independently. ·
Strong organizational skills with attention to detail. 

Preferred Education: 
· Bachelor’s degree or equivalent in human cognitive behavior, product design, user experience design or other related fields 
· Master’s degree preferred. Experience:
· Minimum 5-7 years of experience including: 

Experience in creating prototypes, wireframes, user flows, process flows, journey flows and site maps o Experience with Interaction design o Experience with Rapid Prototyping, Visual design and Responsive design preferred o Experience with Affinity diagrams and Heuristic reviews preferred 

· Customer-focused and results-driven, with a commitment to quality. 

Conducts research and analysis projects to support the organization’s policy, program implementation, and marketing and outreach activities.  

Essential Functions and Responsibilities:  

Depending on the services needed and the skill set of the Research Analyst, responsibilities may include the following.  

1. Project Scoping and Implementation   

· Design and scope research/evaluation projects in response to market needs, internal program needs and external funding opportunities.  

· Mentor junior members of R&A team in research methods and project work.  

2. Research and Statistical Methods   

• Compile, read, and summarize existing literature to frame research efforts and inform policy.  
• Administer surveys, focus groups and/or interviews.  
• Assemble, manipulate, analyze and interpret data from various sources, often in coordination with external research partners.  
• Perform statistical analysis, including multivariable linear regressions, GIS-based spatial analysis, time series modeling and forecasting techniques.  
• Effectively communicate findings and implications to internal staff and high-level external stakeholders.  
• Review analyses conducted by other research analysts for quality.   
• Document research procedures and develop SOPs.  
• Draft written reports and proposals describing completed or proposed model design, implementation and results.  
• Work collaboratively with program teams and other members of R&A team to achieve objectives.  

3. Data Visualization and Reporting   

• Generate web-based data visualizations, maps and reporting tools.  
• Access and facilitate reporting from existing program, customer relationship management (CRM) databases, and enterprise resource planning software databases  

4. CSE Program Support  

• Develop analytical tools for program assessment, tracking and evaluation, including projections of budgets and participation rates.  
• Support/represent program staff in public reporting calls and committee.  
• Support program teams in measurement and evaluation activities.  
• Support program staff or senior members of R&A team in developing presentations.  
• Participate, as needed, in program working groups, meetings, and regulatory proceedings.  
• Advise program teams of research needs, opportunities, strategies and best practices; help them scope research projects that help meet their project goals.  
• Maintain effective working relationships with internal clients and other stakeholders.  

5. Other  

• Contribute to R&A team strategy/work plan.  
• Present at conferences, produce research briefs and reports, write blogs.  
• Perform other related duties as assigned.   

Role Specific Responsibilities:  

QUALIFICATIONS  

Essential Knowledge, Skills and Abilities:  

Required  

• Proficiency in Microsoft Excel, Word and PowerPoint  
• Proficiency in at least two of the following:  
• - Data visualization software (e.g., Tableau)  
• - Statistical analysis tools (e.g., STATA, R)  
• - Relational database development, maintenance and reporting  
• - GIS mapping software (e.g., ESRI ArcMap 9+, QGIS)  
• - Python  
• - JavaScript  
• - Quantitative research design and methods  
• - Program evaluation  
• Extraordinary attention to detail, organizational and problem-solving skills  
• Strong oral and written communication skills  
• Ability to explain complex, technical concepts to non-technical staff and stakeholders  
• Self-motivated to meet deadlines efficiency, distributed generation and/or energy storage  
• Record of publications and/or presentations in industry-relevant setting   
• Experience with advanced quantitative research design and methods   
• Experience working with or within public agencies of multiple concurrent projects and implement quality assurance protocols  
• Ability to work independently on long-term projects  
• Demonstrated propensity to proactively communicate with teammates and seek feedback on work  
• Interest in working with data, research and sustainable energy initiatives   

Preferred  

Understanding of electricity sector (including rates) and/or markets or policy related to electric vehicles, energy   

Education:  

• Bachelor's degree in statistics, economics, computer science, social science, environmental science, public policy, engineering or related field. Coursework should show substantial analytical content.   
• Master’s degree preferred.  
• Additional relevant work experience may be substituted to satisfy the education requirement; an advanced degree may take the place of some work experience if directly relevant to the position.  

Experience:  

Required  

• 3 – 8 years related experience  

  Essential Functions and Responsibilities: 

Depending on the services needed and the skill set of the Senior Research Analyst, responsibilities may include the following. 

1. Research and Statistical Methods  

• Compile, read, and summarize existing literature to frame research efforts and inform policy 
• Administer surveys, focus groups and/or interviews 
• Assemble, manipulate, analyze and interpret data from various sources, often in coordination with external research partners 
• Perform statistical analysis, including multivariable linear regressions, GIS-based spatial analysis, time series modeling and forecasting techniques 
• Apply machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. 
• Effectively communicate findings and implications to internal staff and high-level external stakeholders 
• Review analyses conducted by other research analysts for quality 
• Document research procedures and develop SOPs 
• Draft written reports and proposals describing completed or proposed model design, implementation and results 
• Work collaboratively with program teams and other members of T&I team to achieve objectives.   

2. Data Visualization and Reporting  

• Generate web-based data visualization, maps and reporting tools 
• Access and facilitate reporting from existing program, customer relationship management (CRM) databases, and enterprise resource planning software databases 

3. Project Scoping and Implementation  

• Identify market needs, internal program needs and external funding opportunities; design and scope research projects to address these needs and opportunities; write proposals to secure funding for research projects 
• Play a leadership role on the T&I team to design research and manage research implementation according to industry best practices and internal quality assurance protocols; serve as Principle Investigator when large research projects warrant it. 
• Mentor junior members of T&I team in research methods and project work.  

4. CSE Program Support  

• Develop analytical tools for program assessment, tracking and evaluation, including projections of budgets and participation rates. 
• Support/represent program staff in public reporting calls and committee. 
• Support/represent program staff in measurement and evaluation activities. 
• Support program staff in developing presentations. 
• Participate, as needed, in program working groups, meetings, and regulatory proceedings. 
• Advise program teams of research needs, opportunities, strategies and best practices; help them scope research projects that help meet their project goals. 
• Maintain effective working relationships with internal clients and other stakeholders. 

5. Other  

• Contribute to T&I team strategy/work plan  
• Present at conferences produce research briefs and reports 
• Manage intern(s), including hiring, timesheets, requirements for school credit (if applicable), defining assignments, overseeing projects and progress, and providing feedback for improving performance. 
• Perform other related duties as assigned. 

Role Specific Responsibilities: 

QUALIFICATIONS 

Essential Knowledge, Skills and Abilities: 

Required 

· Proficiency in Microsoft Word and PowerPoint; advanced proficiency in Excel 

· Proficiency in at least one of the following: 

o Data visualization software (e.g., Tableau) 

o Statistical analysis tools (e.g., STATA, R, Python) 

o Relational database development, maintenance and reporting 

o GIS mapping software (e.g., ESRI ArcMap 9+, QGIS) 

o Query languages such as SQL, Hive, or Pig  

• Proficiency in advanced quantitative research design and methods and/or program evaluation 
• Demonstrated expertise in electricity sector (including rates) and/or markets or policy related to electric vehicles, energy efficiency, distributed generation and/or energy storage 
• Ability to explain complex, technical concepts to non-technical staff and stakeholders 
• Extraordinary attention to detail, organizational and problem-solving skills 
• Strong oral and written communication skills 
• Self-motivated to meet deadlines of multiple concurrent projects and implement quality assurance protocols 
• Ability to work independently on long-term projects 
• Demonstrated propensity to proactively communicate with teammates and seek feedback on work 
• Interest in working with data, research and sustainable energy initiatives 

Education: 

• Master's degree and/or PHD in statistics, economics, computer science, social science, environmental science, public policy, engineering or related field. Coursework should show substantial analytical content.  
• Additional relevant work experience may be substituted to satisfy the education requirement; a higher advanced degree may take the place of some work experience if directly relevant to the position.   

Experience: 

Required 

• 3-8 years of related experience  
• Record of publications, reports and/or presentations in industry-relevant setting  

Preferred 

• Experience writing proposals and creating project budgets 
• Experience working with or within public agencies 
• Experience supervising and/or mentoring junior staff  

Essential Functions and Responsibilities: 

SKILLS 

Develop, design, and manage databases to support the evaluation work of the Strategic Research and Analytics team. The successful candidate will work with a variety of stakeholders, both internal and external, to identify existing and new data sources, while assessing the effectiveness and accuracy of the data, as well as opportunities to leverage that data to drive business solutions and success. 

• Mine and analyze data to drive optimization and improvement of product development, marketing, and business strategies, as well as portfolio and program-level evaluation. 
• Execute various mixed methods models, to identify new, interesting, and executable insights. Candidate should be an expert in machine learning tools and techniques such as as k-NN, Naive Bayes, SVM, Decision Forests, etc  
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.   
• Effectively communicate findings to relevant stakeholders through professional, clear, and concise presentations, reports, and visualization of the data and results of any analyses. The ideal candidate can produce advanced visualizations that are accurate and audience-specific.   
• Develop processes and tools to monitor and analyze model performance and data accuracy.  

QUALIFICATIONS 

Essential Knowledge, Skills and Abilities: 

Required 

• Strong problem-solving skills with an emphasis on product development. 
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. 
• Experience working with and creating data architectures. 
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. 
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. 
• Excellent written and verbal communication skills for coordinating across teams. 
• A drive to learn and master new technologies and techniques. 
• We’re looking for a PhD level quant with 7+ years of experience manipulating data sets and building statistical models. and familiar with the following software/tools:   
  • Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. 
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. 
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. 
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. 
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. 
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. 
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.   

Preferred 

• Knowledge of the electric vehicle and/or DER market and related policies and technologies  
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase  

Education: 

• Ph.D. in a relevant field (e.g. data science, statistics, economics, scenario analysis, forecasting, etc.). 

Experience: 

§ 7+ years of relevant experience 

Computer and/or Technical Skills: 

• Experience with common data science toolkits, such as R, Python, Weka, NumPy, MatLab, etc. Excellence in at least one of these is required 
• Demonstrated high-level abilities with programs such as (or comparable to) Excel, Word, PowerPoint and Outlook are required. 
• Familiarity with statistical and/or data visualization tools is required. 

The QA Engineer is a member of the Product Mgmt & Platform Development Team who will assess the quality of CSE solutions prior to release via manual and automated testing. CSE solutions include application processing platforms for clean energy incentive programs, such as California’s Clean Vehicle Rebate Project (CVRP). These solutions include a front-end CMS system and back-end Salesforce and document storage systems. The QA Engineer collaborates with a team of Business Analysts and Front-end and Back-end Developers (including external Development partners) to understand requirements, design test plans/test cases and execute them to ensure quality throughout the software development lifecycle 

 Essential Functions and Responsibilities: 

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.    

· Review and analyze system requirements and specifications  

· Collaborate with Platform Project Management to set milestones and tasks representing all required QA phases 

· Develop and document effective test strategies and plans 

· Create requirements traceability matrices to ensure adequate testing coverage 

· Assign test plans and manage cross-functional team resources to ensure extensive and complete test coverage 

· Execute test cases (manual or automated) and analyze results 

· Responsible for testing front end websites and user experience, backend APIs, integrations and databases along with mobile applications 

· Triage issues found and document each defect clearly and concisely 

· Assist developers in identifying root cause and define corrective actions 

· Assist in creating acceptance criteria for user stories and requirements 

· Participate in Backlog Grooming sessions and Sprint planning and provide input for testing estimates 

· Develop and maintain automated scripts for regression testing  

· Suggest and implement process improvements for platform quality assurance and testing processes    

 

 ESSENTIAL KNOWLEDGE, SKILLS, AND ABILITIES 

· Must have Salesforce experience 

· Proven experience in testing web applications with knowledge of cross browsers and user interface testing technique 

· Familiarity with Drupal (or other front end technologies), PHP, SQL, Web Services 

· Knowledge of various testing methods – Unit testing, Integration Testing, System Testing, Acceptance Testing (Smoke testing) Regression Testing, Black-Box/White Box Testing and when to apply what 

· Knowledge of scripting and automated testing frameworks 

· Familiar with Software Development Lifecycle and QA methodologies 

· A self-starter who sets priorities and undertakes complex tasks with minimal supervision 

· Can effectively work on multiple projects concurrently and with varying development methodologies – agile, scrum, waterfall 

· Strong organizational skills with attention to detail  

· Customer-focused and results-driven 

Preferred Qualifications 

· Working knowledge of Jira as a test management tool 

· Experience with Confluence and Podio a plus 

· Experience with Agile Development methodology  

EDUCATION AND/OR EXPERIENCE 

· 3-5 years experience  

· Bachelor’s degree or equivalent with coursework related to the area of assignment An equivalent combination of education    

Communication Skills  

Communicate effectively in both oral and written form; compose and edit written materials; explain technical concepts in non-technical terms to staff and customers; research and learn new software and adapt to changes in technology; prioritize, organize, and schedule work assignments and projects; establish and maintain cooperative working relationships with those contacted during the course of work.  

LICENSE, CERTIFICATES OR REGISTRATIONS 

Valid California Drivers License; insurable in the State of California. Must own a licensed and registered vehicle and be willing to use it for work-related purposes.