This is Us
The State of Connecticut is embarking upon a digital transformation to uplift the lives and well-being of our residents, businesses, and employees. Our goal is to improve access to our programs and services, making interaction with government easier. When you join the Connecticut Digital Service, you’ll be part of a team creating simple experiences personalized for everyone. If you enjoy solving complex problems with a curious, supportive, high-performing team, then the State of Connecticut is the place for you.
Is This You?
Big Thinker. You see data as a means for reaching strategic goals and can use data to impact both the business and the customer.
Problem Solver. You recognize the critical role data plays in understanding and solving pain points.
Organically Curious. You see beyond the obvious to identify and fill-in the missing data and gaps of data.
Service-Oriented. You are passionate about government innovation and improving services for your fellow citizens.
About the Role
The Data Scientist will work closely with our cross-functional project team focused on building and improving the State of Connecticut’s digital government services. The Data Scientist will support the team by collecting, interpreting, and analyzing multiple data sources to help the State understand user needs, the effectiveness of State programs, and Client opportunities to create better user-centered solutions.
You will need to have a deep understanding of data modelling, user research, data analysis, visualizations, and how to use data to improve the delivery of critical business services. You have a strong background in quantitative/qualitative data management, machine learning, data research methodologies, and the focused application of data analysis to fix problems and address emergent customer trends.
Your role will influence and move the needle. You will be fully engaged with digital development teams and front-facing with team leaders to help advance enterprise success strategies to improve customers’ lives.
Experience Required for This Role
Data Research & Analysis – at least 3 years of measurable experience in the following:
nalyzing data and customer metrics to fulfill specific business goals
Using data to help teams improve functionality and operations
Developing and applying data models to improve the collection and analysis of data
Bridging the divide between technical and business teams through data
Communicating data analysis to various levels of stakeholders through visualizations
Data cleansing, optimizing, and ETL
Developing and analyzing user surveys
Expertise in the principles and operating procedures of a specific industry
Performing competitor research to help improve products and services
Researching latest market trends and implementing knowledge
Creating dashboards and reports that are easy to understand for non-technical users
Organizing and storing data and queries for easy access in future work projects
Documenting data collection and analysis procedures
Organizing focus groups and feedback loops to establish data collection
Using data to isolate problems and develop solutions
Discovering and establishing proper KPIs to help track success
Preparing and executing ROI analysis
Establishing testing of products/services based off data analysis
Identifying and understanding issues through forecasting, gap analysis, quantitative reporting, research, and statistical analysis
Providing insights and recommending changes based on data findings
Knowledge, Skills, and Ability
Data Science
Experience with machine learning, AI, and cognitive service engine models
Experience with programming languages like SQL, Python, R, and Scala
Using analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
Experience using business intelligence tools like Tableau or Power BI
Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
Engaging in data experiments to provide cross-persona or enterprise analysis
Leveraging statistical analysis and algebra
Improving research or data management environments
Leveraging economics, business/systems analysis, and quality assurance
Manipulating large, complex data sets
Documenting processes and modelling
Performance in Complex Situations
Communication and collaboration with cross-functional teams and state-wide partners
Clearing challenges for team members
Comfort in blazing a path through an ambiguous work environment
Judgement fitting to the ever-changing environment
bility to juggle multiple project workstreams
Service Design Team Building
Supporting teammates’ skills and behavior development and delivery
dvocating data strategies both internally and externally
balance between strong domain expertise and flexibility
Prioritization, organization, and triage in an independent environment
Encouraging of an interactive, cooperative, collaborative, and customer-focused work environment
bility to maintain strict confidentiality
Judgement in dealing effectively and diplomatically with all levels of government staff
Preferred Skills & Qualifications
Other Desirable Skills
Deep domain knowledge for a particular industry – especially Health, Business, or Education
Bachelor’s degree in computer science, business, IT, management, administration, economics, or information science
2 years of user research and feedback analysis
2 years of data governance and working within data security groups
1 year of API development
1 year of marketing experience, supported through metrics
1 year of project management experience
1 year of experience with customer relationship management platforms such as Salesforce
1 year of experience with web content management platforms such as Sitecore
Qualifications
Type Category Qualification Description Competency Required Skills Others Business Intelligence Developer 6-8 yrs exp: The Business Intelligence (BI) developer dvanced (7-9 Years) Yes Skills Others Data Research & Analysis Data Research & Analysis – at least 3 years of measurable experience Novice (1-3 Years) Yes Education Others Bachelor’s Degeree Bachelor’s degree in computer science, business, IT, management, administration, economics, or information science Proficient (4-6 Years) No Skills Others Communication skills both verbal and written Novice (1-3 Years) No
User research Key Performance Indicators (KPIs) statistics Tableau Artificial intelligence (AI) CRM Azure On-Prem data-collections google-analytics service-design Marketing Microsoft Office DNS Writing reports and proposals programming-languages Communication data-modeling algebra Salesforce confidentiality Machine Learning google-tag-manager data cleansing Team Buildings Microsoft Excel Project management Power BI Business Intelligence (BI) spss Prioritization Data Analyst Scala Data Science Python Quality Assurance (QA) cloud-platforms testing Client surveys R api-design Collaboration SQL visualization Return on Investment (ROI) forecasting ETL