Data Scientist

STI
Hartford, Connecticut, United StatesFull-timePosted Sep 15, 2026

About the role

Experience Required For This Role

Data Research & Analysis – at least 3 years of measurable experience in the following:

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

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

Ability to juggle multiple project workstreams

Service Design Team Building

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

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

Responsibilities

  • 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
  • Performing competitor research to help improve products and services

Qualifications

  • 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

Skills mentioned

Data AnalysisMachine LearningPythonSQLRScalaETLTableauPower BIMicrosoft Azure

About STI

STI Education Services Group, Inc., established in 1983, is one of the largest networks of schools in the Philippines with 63 campuses across the nation providing a range of highly relevant academic programs in the fields of Information & Communications Technology, Business & Management, Tourism & Hospitality Management, Engineering, Arts & Sciences, and High Schools.

Higher Education1,001-5,000 employeesCainta, Rizal