Education Data Scientist

Kccd

Sourced from Kccd's careers site · verified 12 hours ago

District Office, CA, CA, US on site Full time 2+ years exp Posted October 7, 2026
Job description
<p style="text-align: justify">Reporting to the Dean of Institutional Effectiveness, the Education Data Scientist uses their experience in institutional research and higher education in combination with their data scientist skillset to support the institutional research in developing insights and tools that increase student success.</p><p style="text-align: justify"><strong>DISTINGUISHING CHARACTERISTICS:&nbsp;</strong>&nbsp;</p><p style="text-align: justify">The Education Data Scientist analyzes large amounts of raw information to find patterns that will help improve operations and student success. Responsibilities include analysis of current and historical data on students, staff, departmental workload, enrollment, retention, and graduation. The Education Data Scientist executes strategic, innovative data driven analyses that provide valuable insight, working closely with other members of the Office of Institutional Effectiveness in gathering, analyzing, and reporting data. The EDS supports the development of dashboards, data visualizations, and automated reports and consults regularly with campus stakeholders, building productive professional relationships to understand their current processes and needs and to proactively identify opportunities for collaboration, automation, advanced analytics, and project development.</p><p style="text-align: justify">Identify valuable data sources and automate collection processes</p><p style="text-align: justify">Undertake preprocessing of structured and unstructured data</p><p style="text-align: justify">Analyze large amounts of information to discover trends and patterns</p><p style="text-align: justify">Use machine learning and other approaches to analyze and categorize student engagement and learning&nbsp;</p><p style="text-align: justify">Build predictive models and machine-learning algorithms</p><p style="text-align: justify">Combine models through ensemble modeling</p><p style="text-align: justify">Present information using data visualization techniques</p><p style="text-align: justify">Propose solutions and strategies to operational challenges including ways to maximize student success</p><p style="text-align: justify">Collaborate with institutional research, planning, and development teams</p><p style="text-align: justify">Perform related duties as assigned.</p><p style="margin: 0 0 0 4.5pt; text-align: justify">Any combination equivalent to: Bachelor’s degree in Information Systems, Computer Science or related field and 2 years of increasingly responsible data warehouse &amp; reporting, programming or systems analysis and design experience.</p><p style="margin: 0 0 0 4.5pt; text-align: justify">&nbsp;</p><p style="margin: 0; text-indent: 4.5pt; text-align: justify">OR</p><p style="margin: 0; text-indent: 4.5pt; text-align: justify">&nbsp;</p><p style="margin: 0 0 0 4.5pt; text-align: justify">An Associate’s degree in Computer Science and 4 years of increasingly responsible data warehouse &amp; reporting, programming or systems analysis and design experience.</p><p style="margin: 0 0 0 4.5pt; text-align: justify">&nbsp;</p><p style="margin: 0; text-indent: 4.5pt; text-align: justify">OR</p><p style="margin: 0; text-indent: 4.5pt; text-align: justify">&nbsp;</p><p style="margin: 0 0 0 4.5pt; text-align: justify">High school diploma, GED or equivalent certificate of competency and 5 years of increasingly responsible data warehouse &amp; reporting, programming or systems analysis and design experience.</p><p style="margin: 0 0 0 4.5pt; text-align: justify">&nbsp;</p><p style="margin: 0.05pt 5.8pt 0.0001pt 5pt; text-align: justify"><strong>PREFERRED QUALIFICATIONS:&nbsp;</strong></p><p style="margin: 0.05pt 5.8pt 0.0001pt 5pt; text-align: justify">&nbsp;</p><p style="margin: 0; text-align: justify"><span style="color: inherit">&nbsp;&nbsp;</span>Graduate degree in Data Science or another quantitative field.</p><p style="margin: 0 0 0 5pt"><strong>KNOWLEDGE OF:</strong></p><p style="margin: 0 0 0 5pt"><br></p><p style="margin: 0 0 0 4.5pt">Knowledge of data extraction, collection, and analysis tools (e.g., R, SQL, Python); familiarity with Canvas, Scala, Java or C++ is an asset</p><p style="margin: 0 0 0 4.5pt">Knowledge of machine-learning research</p><p style="margin: 0">&nbsp;</p><p style="margin: 0">&nbsp;</p><p style="margin: 0.35pt 0 0.0001pt">&nbsp;</p><p style="margin: 0 0 0 5pt"><strong>ABILITY TO:</strong></p><p style="margin: 0 0 0 5pt"><br></p><p style="margin: 0 0 0 4.5pt">Ability to use business intelligence tools (e.g., Tableau), data warehouses, and data frameworks (e.g., AWS, Redshift, Hadoop)</p><p style="margin: 0 0 0 4.5pt">Interact, participate and conduct presentations to individuals, college groups, committees, organizations and others as assigned.</p><p style="margin: 0 0 0 4.5pt">Analytical mind and problem-solving aptitude</p><p style="margin: 0 0 0 4.5pt">Prepare comprehensive statistical and narrative reports.</p><p style="margin: 0 0 0 4.5pt">Establish and maintain cooperative working relationships</p><p style="margin: 0 0 0 4.5pt">Maintain a positive working environment and work towards a common goal.</p><br><div style="color: inherit; font-style: normal; text-indent: 0; text-align: center"><strong style="font-weight: 700"><u>SALARY RANGE</u></strong></div><div style="color: inherit; font-style: normal; text-indent: 0; text-align: center"><strong style="font-weight: 700">$7,635.85 - $10,789.27 monthly</strong></div><div style="color: inherit; font-style: normal; text-indent: 0; text-align: center"><strong style="font-weight: 700">Maximum Entry Level Salary: $ 8,022.42&nbsp;monthly</strong></div><div style="color: inherit; font-style: normal; text-indent: 0; text-align: center"><u><strong style="font-weight: 700">&nbsp;SPECIAL INSTRUCTIONS</strong></u></div><strong style="color: inherit; font-style: normal; text-align: start; text-indent: 0">First Review of Applications:</strong><span style="color: inherit; font-style: normal; text-align: start; text-indent: 0">&nbsp;Complete application packets will be accepted until the position is filled; but those received by</span><strong style="color: inherit; font-style: normal; text-align: start; text-indent: 0"><strong style="font-weight: 700"><strong style="font-weight: 700"><strong style="font-weight: 700"><strong style="font-weight: 700"><strong style="font-weight: 700">&nbsp;August 25, 2026,&nbsp;</strong></strong></strong></strong></strong></strong><span style="color: inherit; font-style: normal; text-align: start; text-indent: 0">are assured consideration. The College reserves the right to extend time limits or re-initiate the recruitment/selection process at any point.</span><br style="color: inherit; font-style: normal; text-align: start; text-indent: 0"><br style="color: inherit; font-style: normal; text-align: start; text-indent: 0"><strong style="color: inherit; font-style: normal; text-align: start; text-indent: 0"><strong style="font-weight: 700"><strong style="font-weight: 700"><strong style="font-weight: 700"><strong style="font-weight: 700"><strong style="font-weight: 700">Completed application packet must include:<br></strong><ul style="padding: 0 0 0 40px; margin-top: 0; margin-bottom: 3pt; color: inherit; font-style: normal; text-indent: 0"><li style="padding: 0; margin: 0">&nbsp;Completed Online Application for Employment form&nbsp;</li><li style="padding: 0; margin: 0">&nbsp;Current resume</li><li style="padding: 0; margin: 0">&nbsp;Letter of interest (Cover Letter)&nbsp;</li><li style="padding: 0; margin: 0">&nbsp;Copy of legible transcripts</li><li style="padding: 0; margin: 0">&nbsp;List of five (5) professional references – Listed on application form</li></ul></strong></strong></strong></strong></strong><br style="color: inherit; font-style: normal; text-align: start; text-indent: 0"><span style="color: inherit; font-style: normal; text-align: start; text-indent: 0">It is the applicant's responsibility to redact (or remove) any personal information from all documents prior to uploading. This includes Social Security Numbers, Date of Birth, and any photos of the applicant.</span><br style="color: inherit; font-style: normal; text-align: start; text-indent: 0"><br style="color: inherit; font-style: normal; text-align: start; text-indent: 0"><p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify"><strong style="font-weight: 700"><strong style="font-weight: 700"><span style="color: inherit">Foreign Degree:&nbsp;</span></strong></strong><span style="color: inherit">Applicants with foreign degrees from colleges or universities outside of the United States must have their coursework evaluated by a professional association that is a member of the National Association of Credential Evaluation Services (NACES) or Academic Credentials Evaluation Institute, INC. (ACEI). A copy of the evaluation must be submitted with your on-line application.</span></p><p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify"><span style="color: inherit">Applicants who require reasonable accommodation to participate in the selection process should contact Human Resources to make the necessary arrangements</span><em><span style="color: inherit">. </span></em><span style="color: inherit"><a href="https://www.kccd.edu/human-resources/_documents/discrimination-free-work-environment/2021%20EEO%20Plan%20-%20FINAL%20-%20approved%206.10.21.pdf#search=equal%20employment%20" style="color: inherit; text-decoration: underline"><em><span style="color: inherit; text-decoration: underline !important">EEO Plan 2021-2024</span></em></a><strong style="font-weight: 700"><strong style="font-weight: 700"><em>&nbsp;&nbsp;</em></strong></strong></span></p><p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify"><span style="color: inherit"><strong style="font-weight: 700"><strong style="font-weight: 700"><em>Note:</em></strong><em>&nbsp;</em></strong>The District is strongly committed to achieving staff diversity and the principles of equal employment opportunity. The District encourages a diverse pool of applicants and does not discriminate on the basis of national origin, religion, age, gender, gender identity, gender expression, race or ethnicity, color, medical condition, genetic information, ancestry, sexual orientation, marital status, physical or mental disability, pregnancy, or because he/she is perceived to have one or more of the foregoing characteristics, or based on association with a person or group with one or more of these actual or perceived characteristics or any other characteristic protected by federal, state or local law, in any of its policies, procedures or practices<strong style="font-weight: 700"><em>.</em><strong style="font-weight: 700"><em>&nbsp;</em><a href="https://www.kccd.edu/human-resources/discrimination-free-work-environment.html" style="color: inherit; text-decoration: underline"><em><span style="color: inherit; text-decoration: underline !important">Discrimination Free Work Environment</span></em></a></strong></strong></span><strong style="font-weight: 700"><em>.<br></em></strong></p><p style="margin: 0; color: inherit; font-style: normal; text-indent: 0; text-align: justify"><strong style="font-weight: 700"><em><span style="color: inherit">&nbsp;The District does not provide sponsorship for authorization to work in the United States. Work authorization should be established at the time of application submission.</span></em></strong></p>

Skills

  • SQL
  • Python
  • data analysis
  • machine learning
  • data visualization
  • R
  • Canvas
  • Scala
  • Java
  • C++
  • predictive modeling
About this role

Summary

Analyze education data, build models, support student success through insights and visualization.

Job title

Education Data Scientist

Experience

2+ years

Industry

education

Location

On-site

Salary

$7,635.85 - $10,789.27 monthly

Listed in the job description

Management role

No

Posting history Reposted 161×
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  320. Oct 7, 2026 Removed from careers site Live 0 days
  321. Oct 7, 2026 Reposted
  322. Oct 7, 2026 Removed from careers site Live 0 days
  323. Oct 7, 2026 Reposted
  324. Oct 7, 2026 Live now

As observed on the employer's careers site by ApplyAll. We show every change we've seen including removals.

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