REMOTE - CTDS Data Scientist at Midas Consulting #vacancy #remote

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

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