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Head Data Science Jobs in Arizona (NOW HIRING)

Total ownership of critical technology domains including ERP, ecommerce, CRM/martech, data ... Bachelor's degree in Computer Science, Engineering, or a related field; advanced degrees are a plus.

Total ownership of critical technology domains including ERP, ecommerce, CRM/martech, data ... Bachelor's degree in Computer Science, Engineering, or a related field; advanced degrees are a plus.

... Functions, API Gateway, Data Science, Autonomous Database, and Oracle Integration Cloud ... If your head is in the cloud, find out where we can take you with Oracle Enterprise Solutions.

Showing results 21-40

Head Data Science information

See Arizona salary details

$21.8K

$106.9K

$198.1K

How much do head data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for head data science in Arizona is $106,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,252.00 and $144,660.00 per year, depending on experience, location, and employer.

What does a head data science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are some common challenges faced by a head data science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What are the key skills and qualifications needed to thrive as a head data science?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

What are the most commonly searched types of Data Science jobs in Arizona? The most popular types of Data Science jobs in Arizona are:
Infographic showing various Head Data Science job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,916 per year, or $51.4 per hour.

Head Start Teacher, Prescott Valley

Northern Arizona Council of Governments

Prescott Valley, AZ โ€ข On-site

$19.58 - $26.24/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago


Job description

$19.58-26.24/hr, 40 hrs/wk, 44 wks/yr
Summary
In compliance with Federal Law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Working under general supervision and with moderate difficulty, this position is responsible for instructing preschool-aged children in activities designed to promote social, physical, and intellectual growth.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Instructs children and facilitates developmentally appropriate activities to encourage growth in all areas of childhood development
  • Develops and maintains trusting relationships with children and families to ensure a successful learning environment
  • Develops and implements weekly lesson plans to ensure program compliance
  • Assigns duties to staff and monitors work to ensure a successful learning environment
  • Completes and submits paperwork (logs, reports) to document program compliance
  • Cleans and prepares classrooms regularly to ensure a safe, healthy learning environment
  • Completes regular playground and classroom inspection checklists to ensure a safe, healthy learning environment
  • Conducts health screenings for Head Start children (vision, hearing, mental health, and physical health)
  • Plans and conducts parent-teacher conferences to establish and assess progress toward family goals
  • Other related duties as assigned.

EDUCATION AND/OR EXPERIENCE:
Level I: Childhood Development Associate Credential (CDA) that is age appropriate to the children being served; or a state-awarded certificated for preschool teachers that meets or exceeds the requirement for a CDA.
Level II:Associate degree in Early Childhood Education or Child Development; or an Associate Degree in a filed related to Early Childhood Education or child Development with experience teaching preschool children and a State-awarded certificate to teach in a preschool program.
Level III: Bachelors of Art or Bachelors of Science in Early Childhood Education or Child Development; or a BA or BS in a field related to Early Childhood Education or Child Development with experience teaching preschool children and a State-awarded certificate to teach in a preschool program.
Level IV: Masters Degree in Early Childhood Education or Child Development; and 36 credit hours in Early Childhood Education or Child Development beyond undergraduate level.
CONDITIONS OF EMPLOYMENT:
  • Criminal Background Check
  • Fingerprint Clearance Card, Level I
  • TB Skin Test

CERTIFICATES & LICENSES:
  • Food Handlers license (within 6 months)
  • CPR/first aid/interrater (within 6 months)

TECHNICAL COMPETENCIES:
  • AZ Early Learning Standards
  • Behavior management
  • Childhood development
  • Early childhood education
  • Head Start Performance Standards

GENERAL COMPETENCIES:
  • Collaboration
  • Communication
  • Conflict resolution
  • Cultural competence
  • Discretion
  • Initiative/innovation
  • Mentoring/training
  • Problem solving skills

TRAVEL REQUIRED:
X < 5% โ€ข < 25% โ€ข < 50% โ€ข < 75% โ€ข 100%
PHYSICAL REQUIREMENTS & WORK ENVIRONMENT:
Physical Activity: Frequent listening, talking, standing, walking, climbing, balancing, stooping, kneeling, crouching, crawling, reaching, pushing, lifting, finger use, grasping, feeling, and repetitive motion. Occasional sitting and pulling.
Physical exertion: Sedentary; __ Light; _X_Medium; __ Heavy; __ Very Heavy. Work involves exerting up to 50 pounds of force occasionally, and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects.
Visual requirements: Close visual acuity for compiling and analyzing data; viewing a computer screen; and reading.
Working conditions: Regular exposure to potential physical harm, hazardous chemicals, and infectious disease. Occasional exposure to extreme weather conditions.
NACOG is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, genetic information, or any other characteristic protected by the state, federal, or local law. NACOG is committed to providing access, equal opportunity and reasonable accommodation for individual with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact the Human Resources Director, 928-774-1895, HR@nacog.org.
Benefits include: Agency paid health, dental, vision; Arizona State Retirement (ASRS); Paid sick leave & holiday pay
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.