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Head Of Data Science Jobs (NOW HIRING)

Position Summary The Head of Data is a critical, highly visible leadership role at the heart of ... governance, and data science capability that the enterprise AI agenda depends on. This role ...

Position Summary The Head of Data is a critical, highly visible leadership role at the heart of ... governance, and data science capability that the enterprise AI agenda depends on. This role ...

ClassDojo is dedicated to providing every child with an education they love, and they are seeking a Head of Data to lead their Data Science and Analytics Engineering teams. This role involves ...

About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage ... For a growth-focused data scientist ready to do both, there aren't many roles like it.

About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage ... For a growth-focused data scientist ready to do both, there aren't many roles like it.

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About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage ... For a growth-focused data scientist ready to do both, there aren't many roles like it.

About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage ... For a growth-focused data scientist ready to do both, there aren't many roles like it.

About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage ... For a growth-focused data scientist ready to do both, there aren't many roles like it.

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Head Of Data Science information

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer, Director of Data Science, or Lead Data Scientist, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 for those with extensive experience, advanced skills in machine learning, and industry expertise. These roles typically require strong leadership, strategic thinking, and proficiency with tools like Python, R, and cloud platforms.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency and effectiveness.

Will AI replace data science?

As a Head of Data Science, it is clear that AI tools and automation are transforming data analysis and modeling processes, but they are not replacing the need for skilled data scientists. Instead, AI enhances the role by handling repetitive tasks, allowing data scientists to focus on complex problem-solving, strategy, and interpretation. Continuous learning of programming languages like Python and understanding of machine learning algorithms remain essential for the profession.

What are some common challenges faced by Heads of Data Science in their day-to-day work?

A Head Of Data Science often encounters the challenge of balancing technical innovation with business objectives, ensuring that data projects align with overall company goals. They must navigate complex data environments, ensuring data quality and governance while managing teams with varied skill sets. Collaboration across departments, such as engineering, product, and business units, is essential to integrate analytics solutions effectively. Additionally, they are responsible for mentoring team members and communicating complex insights to non-technical stakeholders, which requires both technical depth and strong interpersonal skills.

What is a Head Of Data Science job?

The Head of Data Science is responsible for leading a company's data science strategy, managing data teams, and developing advanced analytics solutions to drive business value. They oversee data-driven decision-making, model development, and the deployment of AI/ML technologies. This role requires strong leadership, technical expertise, and the ability to collaborate with cross-functional teams to align data initiatives with business goals.

How to become head of data science?

To become a head of data science, candidates typically need extensive experience in data analysis, machine learning, and statistical modeling, often 7+ years, along with strong leadership and project management skills. A relevant advanced degree such as a master's or Ph.D. in a quantitative field is common, and proficiency with tools like Python, R, and SQL is essential. Building a track record of successful projects and developing strategic thinking are key steps toward this leadership role.

What are the key skills and qualifications needed to thrive in the Head Of Data Science position, and why are they important?

To thrive as a Head Of Data Science, you need advanced expertise in machine learning, statistical modeling, and data strategy, usually backed by a graduate degree in a quantitative field and extensive industry experience. Familiarity with programming languages like Python or R, cloud platforms, and tools such as SQL, Spark, or TensorFlow, as well as experience with data governance frameworks, is highly valued. Strong leadership, strategic vision, and communication skills help drive cross-functional collaboration and inspire diverse teams. These skills are crucial for delivering business value, guiding data-driven decisions, and scaling impactful analytics initiatives across the organization.

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Global Head of Data Science for Investment Tech (Stamford)

Global Head of Data Science for Investment Tech (Stamford)

Franklin Templeton

Stamford, CT • On-site

$208K - $270K/yr

Full-time

Posted 2 days ago


Franklin Templeton rating

9.8

Company rating: 9.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Franklin Templeton is looking for a Head of Data Science in Stamford, Connecticut. This role involves leading the development of AI-enabled data science capabilities within Investment Technology Solutions to enhance investment outcomes. Responsibilities include collaborating with investment teams, designing robust data platforms, and establishing a high-performing global data science organization. Candidates should have 10+ years of experience in asset management, with strong leadership and technical skills. The salary ranges from $208,000 to $270,000, along with benefits.
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