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Job Title: Head of Data Science

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Location:

[Location] (Opportunities for remote/hybrid/flexible work available)

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Reports to:

Chief Technology Officer or Chief Data Officer OR Chief Data Scientist

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Role Purpose

Try and bring the role to life while considering what you need the successful candidate to achieve in a year Are you a seasoned data science leader eager to make a significant impact? Join [Company Name] as our Head of Data Science, where you'll lead a dynamic team and drive data-driven strategies that propel our company forward. The purpose of this role is to lead and develop the data science team, harnessing data insights to inform strategy and drive innovation across the organization. This role is central to advancing our data capabilities and influencing key business decisions.

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Company Overview

Summarise your company and it’s culture.[e.g. [Company Name] is a leading AI technology company specializing in developing advanced artificial intelligence solutions for [specific industry or application]. Our mission is to [company mission]. We foster a collaborative and inclusive work environment that encourages creativity and professional growth.] Include USPs and technical innovation or focus that will appeal to the ideal candidate [e.g. Recognized as one of the "Best Places to Work" by [Awarding Body], we are committed to excellence in AI technology.]
 

 

Key Responsibilities

  • Develop and implement the company's AI strategy aligned with business goals.

  • Lead and manage the AI research and development team.

  • Oversee the design, development, and deployment of AI technologies.

  • Collaborate with cross-functional teams to integrate AI solutions into products and services.

  • Stay updated on the latest advancements in AI and machine learning.

  • Ensure compliance with ethical standards and data privacy regulations.

  • Manage budgets and resource allocation for AI projects.

  • Represent the company at industry events and conferences.

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Required Skills and Qualifications

  • Extensive experience in AI and machine learning with a proven track record of leading successful AI projects.

  • Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.

  • Proven track record of [relevant to future plans of company e.g. managing complex technology projects, taking MVP to scale, high volume of transactions, think of experience such as solving specific problems that will accelerate their success in the role.

  • Strong leadership and team management skills [specify scale and budget or commercial responsibility].

  • Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders.

  • Experience with big data technologies and data analytics.

  • Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.

  • Strong problem-solving skills and strategic thinking abilities.

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
     

 

 

Perks and Benefits:

Clearly outline the benefits and perks of the role.
 

 

How to Apply:

End with a strong call to action encouraging candidates to apply. Include a direct link to the application page and provide contact information for further queries.

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Please ensure each job description includes all relevant information in compliance with local, state, and national laws. This includes:

 

  • Salary Information: Provide a clear salary range to maintain transparency and meet legal requirements.

  • Privacy Policies: Protect candidate privacy by following all applicable data protection and privacy laws.

  • Equality & Non-Discrimination: Include an equal opportunity statement to uphold our commitment to a diverse, inclusive workplace that does not discriminate based on race, gender, age, disability, or any other protected characteristic.

  • Accessibility: Make reasonable accommodations available for candidates with disabilities and include information on how they can request assistance throughout the hiring process.

  • Environmental and Social Responsibility: If your company has sustainability initiatives or community engagement programs, mentioning them briefly can attract candidates who prioritize working for socially responsible employers.

  • Transparent Hiring Process: Briefly explain the hiring process (e.g., “Our interview process typically includes three stages: an initial screening, a technical interview, and a final interview”) to help candidates know what to expect.

Want to know about the talent market for Head of Data Science?

If you'd like to find out what's happening in the AI and Data talent markets, or if we can help you secure talent for your team from specific markets, book a no-obligation 20-30 minute consultation call.

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