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Science Strategist Jobs in Texas (NOW HIRING)

MAP

Senior CRM Strategist

Austin, TX · On-site

Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

VML

Senior CRM Strategist

Austin, TX

Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the ...

Cerebre

Deployment Strategist

Houston, TX · On-site

$116K - $149K/yr

Often called the "brain" of the digital twin, cerebre helps engineers, data scientists, and ... About the role As a Deployment Strategist , you will work at the intersection of our customers ...

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Science Strategist information

What is a science strategist?

A Science Strategist is a professional who bridges the gap between scientific research and organizational goals by developing and implementing strategies that align scientific activities with business or policy objectives. They analyze scientific trends, advise on research directions, and help integrate scientific knowledge into decision-making processes. This role often involves working with interdisciplinary teams to guide research priorities, secure funding, and maximize the impact of scientific initiatives. Science Strategists are commonly found in research institutions, government agencies, and private sector organizations where science plays a central role.

How does a science strategist typically collaborate with research and business teams within an organization?

A Science Strategist serves as a bridge between research teams and business units, ensuring that scientific initiatives align with organizational goals. They frequently participate in cross-functional meetings, translating complex scientific concepts into actionable strategies for stakeholders. By facilitating communication and coordinating project priorities, they help maximize the impact of scientific research on business outcomes. This role requires strong interpersonal skills and the ability to balance scientific rigor with practical business considerations.

What are the key skills and qualifications needed to thrive as a science strategist, and why are they important?

To thrive as a Science Strategist, you need a strong background in scientific research, analytical thinking, and strategic planning, often supported by an advanced degree in a scientific discipline. Familiarity with data analysis tools, research databases, and project management systems is typically required. Exceptional communication, collaboration, and problem-solving skills help a Science Strategist influence stakeholders and guide multidisciplinary teams. These capabilities are crucial for effectively aligning scientific initiatives with organizational goals and driving innovation.
Infographic showing various Science Strategist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Data Scientist Strategic Data Intelligence

Houston, TX • On-site

Houston Independent School District
Education Programs Administration • 10K+ employees
Learn more about Houston Independent School Districtexternal

$84K - $138K/yr

Full-time

Re-posted 2 days ago

Houston Independent School District rating

5.3

Company rating: 5.3 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

Job description


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Job Description
The Senior Data Scientist - Strategic Data Intelligence leads advanced analytics initiatives that inform strategic planning, equity initiatives, forecasting, and resource allocation across both instructional and operational domains. This role builds predictive models, simulations, and complex analyses using data from student systems (SIS, LMS, SPED) and enterprise systems (finance, HR, procurement). The Senior Data Scientist works closely with senior leaders and analysts to deliver evidence-based insights that shape district policies and performance outcomes.
Responsibilities
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Responsibilities
  1. Design and implement predictive models and machine learning algorithms for student outcomes, budgeting, staffing, and resource planning.
  2. Analyze districtwide data to support equity tracking, chronic absenteeism, enrollment forecasting, and SPED identification trends.
  3. Integrate data from Microsoft Fabric, SIS, ERP, and external datasets to answer complex research questions.
  4. Develop simulations and decision support tools to guide executive and board-level planning.
  5. Present findings using compelling visuals and narratives tailored to non-technical audiences.
  6. Partner with academics, operations, and finance to align data insights with real-world decisions.
  7. Maintain reproducible research workflows and ensure compliance with data governance policies.
  8. Collaborate with data architects and engineers to ensure model-ready datasets are accurate and current.
  9. Mentor analysts and support the expansion of data fluency across departments.
  10. Other duties as assigned.

Qualifications
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Job Qualifications
EDUCATION
A Master's degree in data science, statistics, applied mathematics, economics, or a related field is preferred. Alternatively, a Bachelor's degree plus relevant work experience is acceptable. Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experiences that indicate potential for success in this role.
WORK EXPERIENCE
Minimum of 6 years in data science, research, or applied analytics roles. Experience in public education, government, or nonprofit analytics preferred.
TYPE OF SKILL AND/OR REQUIRED LICENSING/CERTIFICATION
Software Certifications/Licensure Equipment Other Items Expert proficiency in Python, R, SQL, and Power BI Strong statistical and machine learning skills (e.g., regression, classification, time series, clustering) Familiarity with education data structures and public sector decision-making Data storytelling and visualization expertise
LEADERSHIP RESPONSIBILITIES
-Serves as senior technical leader within the Data Intelligence Office. May lead projects and mentor junior analysts.
WORK COMPLEXITY/INDEPENDENT JUDGMENT
-Manages high-impact modeling projects with districtwide consequences. Applies independent professional judgment to determine methods and interpret results.
BUDGET AUTHORITY
-None. May advise on data tools, modeling platforms, and external datasets.
PROBLEM SOLVING
-Translates strategic questions into analytical models. Identifies data issues and proposes data-informed solutions.
IMPACT OF DECISIONS
-Models influence district investment decisions, student support strategies, and strategic planning efforts.
COMMUNICATION/INTERACTIONS
-Collaborates with department leads, executive staff, and board advisors. Presents findings to senior leadership and external partners.
CUSTOMER RELATIONSHIPS
-Provides critical insight and foresight to HISD leadership teams. Builds stakeholder trust through actionable, validated analytics.
WORKING/ENVIRONMENTAL CONDITIONS
-Office environment. May work extended hours during major board cycles or forecasting updates, hybrid setting available.

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