Sealaska · 2 months ago
Data Scientist I - Family & Education
Colorado Springs Area
Contract
Onsite
Senior Level
5+ years expSealaska is the Alaska Native regional corporation for Southeast Alaska, and they are seeking a Data Scientist I to conduct research and perform data analysis related to family and education outcomes. This role involves developing statistical models, creating dashboards, and providing recommendations to improve data analysis for clients, integrating data from various child welfare and education programs.
Environmental ConsultingGovernmentNatural Resources
No H1B
U.S. Citizen Only
Responsibilities
Demonstrate a strong understanding of early childhood systems, policies, and data, as well as K–12 education data and related policies
Design and manage data collection, acquisition, and maintenance processes to ensure integrity and accuracy
Formulate research questions, apply critical thinking, and select appropriate analytical methods to address data requests
Conduct statistical and policy analysis, evaluate scenarios, and deliver actionable, data-driven recommendations
Prepare and present clear, insightful reports, dashboards, and narratives for diverse audiences
Assess new data sources and techniques and implement processes to monitor and improve model performance
Collaborate with internal teams and client stakeholders to identify opportunities and implement effective, data-driven solutions
Maintain comprehensive documentation to ensure sustainability and knowledge transfer
Design and manage systems for large datasets including RDBMs, NoSQL, and streaming data environments
Create integrated, curated data sources for comprehensive analysis
Implement analytics dashboards and reporting tools (e.g., Tableau, PowerBI, R Shiny)
Automate QA/QC and data quality monitoring using KPIs
Develop exploratory and confirmatory analytic reporting processes
Design and implement automated data quality and validation workflows
Develop and deploy descriptive, diagnostic, predictive, and prescriptive statistical models
Promote a data-driven culture across the organization
Develop and deploy machine learning models for classification and prediction
Build interactive, predictive, and prescriptive reporting tools
Perform other duties as assigned
Qualification
Required
Proof of US citizenship is required for this opportunity
Demonstrate a strong understanding of early childhood systems, policies, and data, as well as K–12 education data and related policies
Design and manage data collection, acquisition, and maintenance processes to ensure integrity and accuracy
Formulate research questions, apply critical thinking, and select appropriate analytical methods to address data requests
Conduct statistical and policy analysis, evaluate scenarios, and deliver actionable, data-driven recommendations
Prepare and present clear, insightful reports, dashboards, and narratives for diverse audiences
Assess new data sources and techniques and implement processes to monitor and improve model performance
Collaborate with internal teams and client stakeholders to identify opportunities and implement effective, data-driven solutions
Maintain comprehensive documentation to ensure sustainability and knowledge transfer
Design and manage systems for large datasets including RDBMs, NoSQL, and streaming data environments
Create integrated, curated data sources for comprehensive analysis
Implement analytics dashboards and reporting tools (e.g., Tableau, PowerBI, R Shiny)
Automate QA/QC and data quality monitoring using KPIs
Develop exploratory and confirmatory analytic reporting processes
Design and implement automated data quality and validation workflows
Develop and deploy descriptive, diagnostic, predictive, and prescriptive statistical models
Promote a data-driven culture across the organization
Develop and deploy machine learning models for classification and prediction
Build interactive, predictive, and prescriptive reporting tools
Perform other duties as assigned
Strong verbal and written communication skills; able to present complex information clearly
Excellent interpersonal and customer service skills; comfortable working with diverse stakeholders
Proven organizational and time management skills with attention to detail
Ability to thrive in a fast-paced, occasionally high-pressure environment
Strong analytical and problem-solving skills
Proficiency in Microsoft Office Suite and familiarity with data visualization tools
Knowledge of early childhood and K–12 education data systems and related datasets
Experience with statistical and data mining techniques
Coding proficiency in Python, R, SQL, or similar languages
Understanding of machine learning techniques (e.g., clustering, decision trees, neural networks) and their practical applications would be beneficial
Passion for discovering insights in large datasets and collaborating with stakeholders to improve outcomes
Research-based Master's degree or PhD in a relevant field (Applied Statistics, Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
5+ years of experience working in a data analyst role using statistical methods to solve business problems
Experience with SQL and other data querying tools
Experience visualizing/presenting data for stakeholders using: Tableau, PowerBI, R Shiny, etc
Company
Sealaska
Founded in 1972, Sealaska has been evolving from a land-management-focused company to a services-focused company with an emphasis on sustainable industries.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Apple's Impact Accelerator
2022-08-25Non Equity Assistance
Leadership Team
Carrie Goltry Rorem
Chief Financial Officer
Recent News
Company data provided by crunchbase