Job Location: Connecticut
Requisition Details for: CTDS Data Scientist, Phase 2
Requisition Details
Summary
Requisition ID : CTDS Data Scientist, Phase 2
Requisition Name : IT Business Intelligence Developer – Level 3
Customer : CT DAS
Quantity Requested : 1
Estimated Duration : 11/01/2022 – 10/31/2023
Note: In addition to submitting a resume through Covendis, each candidate should fill out the following introductory pre-screen form: https://forms.office.com/g/hLXbNKWyhn.
Pricing
Max Rate : USD 102.50 Per Hour
Expenses Allowed : No
Location
Position Location : Remote
Address
450 Columbus Blvd., Suite 1202 Hartford, Connecticut 06103-0000
Location Requirements
Candidate must be local or willing to commute or relocate.
No preference
Additional Location Details (City, State) :
In addition to submitting a resume through Covendis, each candidate should fill out the following introductory pre-screen form: https://forms.office.com/g/hLXbNKWyhn.
Description
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.
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 discover 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
- Analyzing 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
• 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
• 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
- Ability to juggle multiple project workstreams
• Supporting teammates’ skills and behavior development and delivery
- Advocating data strategies both internally and externally
- A 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
- Ability to maintain strict confidentiality
- Judgement in dealing effectively and diplomatically with all levels of government staff
Preferred Skills & Qualifications
• 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
Schedule
Days : Monday Yes Tuesday Yes Wednesday Yes Thursday Yes Friday Yes Saturday No Sunday No
Hours/Day : 8
Time Zone : EST
Shifts
Start Time
End Time
Description
Active
Shift 1
8:00 AM
5:00 PM
Yes
Qualifications
Type
Category
Qualification
Description
Competency
Required
Skills
Others
Business Intelligence Developer
6-8 yrs exp: The Business Intelligence (BI) developer
Advanced (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 Degree
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
Proficient
Yes
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