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Head Data Science Jobs in Delaware (NOW HIRING)

Fidelity International

Ensure strong controls, governance and documentation around performance data and attribution models ... Science Extensive experience in performance measurement and attribution within an asset management ...

Delaware Schools Consortium

Science Teacher - SY25/26

Dover, DE · On-site

$48K - $62K/yr

Responsibilities Under the supervision of the Head of School, the General Education Teacher (in and ... Analyze assessment data to identify areas of strength and areas for growth and adjust instructional ...

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Head Data Science information

See Delaware salary details

$21.1K

$103.4K

$191.6K

How much do head data science jobs pay per year?

As of May 29, 2026, the average yearly pay for head data science in Delaware is $103,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,350.00 and $139,937.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Head of Data Science, and why are they important?

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 are some common challenges faced by a Head of 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 does a Head of 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 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 Delaware? The most popular types of Data Science jobs in Delaware are:
Head Data Science jobs near you

MLS Next Head Coach

BPG Real Estate Service

Wilmington, DE • On-site

Full-time

Posted 15 days ago

Job description

The Academy Coach will support & help drive a culture of excellence and long-term development within the entire club environment.

Below are the core elements of a successful Academy Head Coach candidate’s profile:

  • Enthusiastic for the opportunity that this role presents
  • Exceptional work ethic: minimum commitment of 40 hours per week; nights, weekends, odd hours
  • Exceptional interpersonal skills, marked by; honesty, empathy, and service
  • USSF B License (or foreign equivalent)
  • 3+ years of coaching experience at the U13 age group or older in a high performance environment and/or playing experience of the same level/standard
  • Proficient in the use of Performance Analysis Tools and present the findings in a team environment to drive the development of players and team.
  • A valid drivers license
  • Clear criminal background check
  • Eligible to live and work in the United States of America

This person will be responsible for delivering team sessions. Additionally, the Academy Head Coach is expected to work closely with the rest of

the MDT to develop, implement and update each players IDP. Following along with that role the Academy Head Coach will work closely with

the rest of coaching staff to insure our best possible opportunity to develop across the age groups. Detailed responsibilities are as follows:

Macro - Yearly

  • In conjunction with the Academy staff, assess & evaluate the strength and depth of the squad
  • Research and develop trends in the game and provide solutions for the best path forward with regard to our game model, pedagogy, and
  • player pool.

Meso - 8 Week Block

  • Reflect on the impact of previous training blocks with Academy Staff and MDT: with relation to predetermined KPI's
  • In conjunction with the Academy Staff, plan the next 8 week block with taking into account the reflection of the previous 8 weeks

Micro - Week

  • 100% Attendance: team training sessions, matches, staff meetings, and other team/club events
  • Meet weekly with the Academy staff
  • Develop & run team sessions, based on the next step in implementing the style of play, with taking into account the past performance of the
  • team and future opponent
  • Collate, analyze, and produce actionable plans based on the various data points collected across video analysis of opponents, video analysis
  • of team & individuals (training & matches), style of play KPIs from games. Such “actionable plans” could include, but are not limited too: a.)
  • developing a tactical approach for an opponent or a specific threat they pose; b.) developing new training activities to meet a need in the squad

Additionally, the successful Academy Head Coach candidate will possess some of the desirable qualities, abilities, or titles listed below:

  • Degree(s) in relevant field (i.e. education, psychology, management, information technology,
  • marketing, graphic design.)
  • Brings a “+1” (Sports Science, ADT, AT, Video Analysis Skills, Bi-lingual, Medical Professional,
  • GK specialist, Tech Savvy)
  • Proficient with Google Drive, PDF, Excel, Keynote/Powerpoint skills

Compensation package is based on applicants experiences, qualifications, and demonstrated abilities