Data Scientist I

Cognitell, 6547 N Academy Blvd, Colorado Springs, Colorado, United States of America Job Description Posted Monday 17 November 2025 at 08:00 Cognitell is a subsidiary of Sealaska Job Title: Data Scientist (Family & Education Outcomes) Job Summary: The Data Scientist I will conduct research and perform data analysis including developing and validating statistical models, creating dashboards, writing analysis reports, and providing recommendations for improving data analysis and models for clients. This role requires integrating data from child welfare, adult protection, juvenile justice, and family support programs. It also involves working with education data for early childhood and K–12, along with datasets from other state agencies, to support longitudinal research and cross-system analysis. The Data Scientist must be adept at combining large, disparate data sets to uncover insights, inform strategic planning, and support policy development.

Responsibilities

include designing and maintaining ETL processes to ensure data accuracy and integrity, managing data using a variety of statistical methods and tools, and presenting findings that support cross-sector collaboration and continuous improvement in services. The position involves coordination with other data scientists and analysts, collaboration with multiple participating entities, and ensuring alignment and consistency across data sources. The individual is also responsible for reporting progress and outcomes to executive leadership and contributing to statewide initiatives that enhance family well‑being and safety. Proof of US citizenship is required for this opportunity.

Duties

/ 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.

Data Analytics 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. Data Science 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. Required Skills / Abilities 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.

Education and Experience 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. Working Conditions The physical and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands Walk, use hands to finger, handle objects, tools, or controls; reach with hands and arms; balance; stoop; bending or crouching; talk or hear.

Vision: close, distance, color, peripheral, depth perception, adjust focus. Some lifting of files, opening cabinets. Bending or standing as necessary. Prolonged periods sitting at a desk and working on a computer.

Must be able to lift up to 15 pounds at times. Work Environment Position is sedentary with prolonged periods of standing, bending, sitting, kneeling. This description is not intended to be, nor should it be construed as an all‑inclusive list of responsibilities, skills or working conditions associated with the position. It is intended to accurately reflect the activities and requirements of the position, but duties may be added, deleted, or modified, as necessary.

This description does not constitute a written or implied contract of employment. Sealaska and its affiliates do not make job offers without first conducting live in‑person or virtual interviews, and they do not conduct interviews by email/text. Please be sure to confirm the legitimacy of all job postings on the sealska.com careers page and careers site before sharing any of your personal information. Who is Sealaska?

Established in 1972, Sealaska is the Alaska Native regional corporation for Southeast Alaska. Our 23,000 shareholders are Tlingit, Haida and Tsimshian people with more than 10,000 years of ancestral ties to the oceans, forests and communities of Southeast Alaska. We serve the twin goals of economic prosperity and environmental protection. We are committed to providing the best possible climate for maximum development and goal achievement for all our employees.

As a Native‑owned company, Sealaska Corporation is proud to promote an inclusive and diverse workplace, with respect for the cultural traditions in the communities where we operate. Sealaska Corporation is an equal‑opportunity employer. All applicants are considered without regard to race, color, sex, gender, age, religion or religious creed, national origin, ancestry, citizenship, marital status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. However, preference may be extended to an enrolled member of a federally‑recognized Indian Tribe.* *“Indian Tribe” means an Indian Tribe, band, nation, or other organized group or community, including any Alaska Native village or regional or village corporation as defined in or established pursuant to the Alaska Native Claims Settlement Act (85 Stat. 668; 43 U.

S. C. 1601) which is recognized as eligible for the special programs and services provided by the United States to Indians because of their status as Indians. Cognitell, 6547 N Academy Blvd, Colorado Springs, Colorado, United States of America #J-18808-Ljbffr