1

Director Of Data Science Jobs (NOW HIRING)

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable ...

New

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications. The Director of Data Solutions is ...

What You'll Do Sol de Janeiro is seeking a Director of Data to build and lead our enterprise data practice. This is a leadership role responsible for establishing the foundational data infrastructure ...

Director of Data Engineering We are seeking an experiencedDirector of Data Engineering responsible ... Bachelors degree in Computer Science, Engineering, Data Science, or equivalent experience * 8+ ...

Role Overview The Director of Data Platform will lead a team of two data engineers and four BI ... Education • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field ...

Axle is a bioscience and information technology company specializing in translational research, biomedical informatics, and data science applications. The Director of Data Solutions will lead ...

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and analytics across a portfolio of analytics-engaged clients. This is a senior, hands-on role spanning the ...

next page

Showing results 1-20

Director Of Data Science information

See salary details

$54K

$154.9K

$244K

How much do director of data science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for director of data science in the United States is $154,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $189,500.00 per year, depending on experience, location, and employer.

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

A Director of Data Science needs advanced expertise in statistical analysis, machine learning, and data strategy, typically supported by a graduate degree in a quantitative field and significant industry experience. Familiarity with big data platforms (e.g., Hadoop, Spark), programming languages (Python, R), and cloud-based analytics tools, as well as experience managing data science teams, is essential. Strong leadership, communication, and business acumen are key soft skills for aligning technical work with organizational goals and influencing stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the strategic impact of data science initiatives within the organization.

How much does a director of data science make?

A director of data science in the US typically earns between $130,000 and $200,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on experience, industry, company size, and location, with senior roles in tech and finance generally offering higher pay. Advanced skills in machine learning, leadership, and data strategy are common requirements for this role.

What does a director of data science do?

A director of data science oversees data science teams, develops strategies for data analysis and modeling, and ensures projects align with business goals. They often manage data infrastructure, collaborate with other departments, and require strong skills in statistics, machine learning, and leadership. The role typically involves setting priorities, managing resources, and communicating insights to stakeholders.

What is the highest paid job in data science?

The highest paid roles in data science are often senior executive positions such as Chief Data Officer or Vice President of Data Science, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in machine learning and data strategy, and often involve leadership responsibilities across organizations.

What are some common challenges faced by a Director of Data Science when leading cross-functional teams?

As a Director of Data Science, one of the key challenges is aligning the goals of data science teams with those of product, engineering, and business stakeholders. This often involves translating complex technical findings into actionable insights that non-technical colleagues can understand and use. Additionally, managing resource allocation and prioritizing projects across multiple departments can be demanding, especially in fast-paced environments. Building a collaborative culture and fostering open communication are crucial for overcoming these challenges and ensuring data-driven strategies deliver business value.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to prioritize variables, focus on impactful data, and optimize models efficiently.

What is the difference between Director Of Data Science vs Data Scientist?

AspectDirector Of Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's or PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic planning, team management, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, tech firms, research institutions, various industries

The main difference between a Director Of Data Science and a Data Scientist lies in their scope of responsibilities. The Director oversees strategic initiatives, manages teams, and aligns data projects with business goals, while Data Scientists focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but the Director's role emphasizes leadership and strategic planning.

More about Director Of Data Science jobs
What cities are hiring for Director Of Data Science jobs? Cities with the most Director Of Data Science job openings:
What are the most commonly searched types of Of Data Science jobs? The most popular types of Of Data Science jobs are:
Who are the top companies hiring for Director Of Data Science jobs? The top employers for Director Of Data Science jobs are:
What states have the most Director Of Data Science jobs? States with the most job openings for Director Of Data Science jobs include:

Head of Data Science & AI Engineering

Ipsen

Cambridge, MA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Title:

Head of Data Science & AI Engineering

Company:

Ipsen Bioscience, Inc.


About Ipsen:

Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation.

Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company's success. Join us on our journey towards sustainable growth, creating real impact on patients and society!

For more information, visit us at https://www.ipsen.com/and follow our latest news on LinkedIn and Instagram.

Job Description:

Summary

The Head of Data Science & AI Engineering is a pivotal role within the Global Data & AI Department. This position acts as a leader and strategist, responsible for developing and governing the technical strategy and the capabilities for enterprise advanced analytics and AI that enable Ipsen's Business Data & AI Strategy. The Head of Data Science & AI Engineering fosters deep partnerships with business domains, provides technical leadership for data/AI initiatives, and oversees the entire lifecycle of data and AI products, including the development of internal products and the adoption of third-party off-the-shelf AI solutions. Additionally, this position champions the Data Science & AI Center of Excellence, mentors a team of data scientists, data engineers, and AI engineers, and drives the adoption of new tools and technologies to enhance the team's capabilities. Effective communication with business leaders and stakeholders, as well as ensuring compliance with internal policies and relevant regulations, are also key responsibilities of this role.

The Global Digital IT (GDIT) division is dedicated to being the business partner of choice for digital, data, and technologies, delivering outstanding value at speed and scale for patients and Ipsen. In this transformative context, GDIT plays a crucial role in driving innovation and efficiency across the organization.

The Global Data & AI Division within GDIT was established to enhance Ipsen's Data and AI capabilities and serve as a key business enabler. This central Hub for Data, Analytics, and AI unites diverse expertise to foster collaboration and deliver value throughout the data lifecycle. The division is structured around six core functions (Data & AI Strategy, Product & Delivery Management, Data Science & AI Engineering, Data Integration & Analytics, Data Governance & Data Management, Platform Engineering) to ensure the comprehensive delivery of data and AI initiatives while maintaining strong, scalable data governance and foundations.

Main Responsibilities

  • Design, implement and govern the technical strategy for enterprise advanced analytics and AI, ensuring robust and scalable capabilities, standards, methodologies, and best practices that enable Ipsen's Business Data & AI Strategy. Ensure this technical strategy adheres to Ipsen's internal policies and external regulatory requirements.

  • Be a key contributor of the overall enterprise AI strategy, in collaboration with GDIT and with the business

  • Foster deep partnerships with business domainsto understand their needs, explore new opportunities, and deliver data/AI solutions that drive business value.

  • Provide technical leadership for advanced analytics and AI initiatives. Oversee the entire development lifecycle of data and AI products, from feasibility to MVP development, scaling, and maintenance, either through direct involvement or by providing supervision and guidance.

  • Ensure adherence to best practices in AI and data science, maintaining high-quality delivery, reliability, and performance throughout all stages of the product lifecycle.

  • Oversee and ensure the integration of data & AI models into existing systemsand seamless deployment and monitoring of AI models in production environments.

  • Conduct comprehensive assessments and evaluations of third-party AI solutions, considering technical performance, regulatory compliance, security standards, and alignment with Ipsen's strategic objectives. Ensure that selected solutions meet the highest standards of quality, reliability, and ethical practices. Support the adoption across Ipsen of the third-party AI solutions, such as enterprise productivity solutions, to enhance operational efficiency and innovation.

  • Develop and implement metrics to monitor the performance and impact of AI and data science initiatives. Regularly report on the progress and outcomes of projects to senior leadership and stakeholders.

  • Lead the Data Science & AI Center of Excellence, acculturating the Global Digital, IT teams, and the Business Functions, while fostering and animating the Data Science & AI engineering community across Ipsen.

  • Effectively communicate the outcomes of initiatives and complex AI concepts to Ipsen business leaders, as well as other internal and external audiences, in a clear, engaging, and actionable manner. Ensure that these communications drive understanding, foster collaboration, and highlight the strategic value of AI.

  • Lead and mentor a team of data scientists, data engineers and AI engineers, fostering a culture of innovation and continuous improvement.

  • Drive the adoption of new tools and technologiesto enhance the team's capabilities.

  • Promote a culture of innovationby encouraging the exploration of new technologies and methodologies. Stay updated with the latest advancements in AI and data science technologies and methodologies. Lead research initiatives to explore cutting-edge AI and data science techniques and their potential applications.

  • Collaborate with cross-functional teams(business partners, data delivery leads, data managers, platform engineers, etc.) to drive successful implementation of the data & AI products.

  • Ensure efficient allocation of the data & AI resourcesinvolved in the initiatives.

  • Manage the relationship with vendors and oversee procurement activities to support the strategic goals of the Data Science & AI activities.

  • Ensure compliance with relevant regulations (e.g., AI Act) and standards, maintaining the integrity and ethical standards of AI and data science initiatives, in collaboration with the Legal, Data Privacy, Quality & Security teams.

Knowledge, abilities & experience

  • Advanced degree (Master's or Ph.D.) in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Minimum of 10 years of experience in data science, AI, or related fields, with at least 5 years in a leadership role.

  • Proven track record of leading and managing data science and AI teams, ideally in the pharmaceutical or healthcare industry.

  • Extensive experience in developing and implementing AI and advanced analytics solutions, including internal product development and third-party AI solutions.

  • Strong background in regulatory compliance, data privacy, and security standards relevant to the pharmaceutical industry

  • Strong leadership, drive, and strategic thinking

  • Excellent communication skills

  • Strong interpersonal and facilitation skills to drive alignment and engagement with the partners/stakeholders

  • Possess the ability to work in a matrix organization

  • Foster a culture of innovation

  • Possess the ability to develop and coach talents

  • Ensure accountability for high-quality delivery

  • Possess a business-centric and value-drivenapproach.

  • Possess an agile mindsetwith the ability to adapt to changing environments.

  • Be a team playerwith a growth mindset.

  • Be open-minded and comfortable with change

Key Technical Competencies Required

  • Expert in Data Science, Data Engineering and AI, including Machine Learning, Deep Learning, NLP, Generative AI, Agentic AI and LLM (Claude, LLaMa, GPT, etc.)

  • Expert in ML/DL development and deployment frameworks (Scikit-learn, PyTorch, MLflow),

  • Experienced in Data Analysis (Pandas), Data Transformation (DBT) and Data Management

  • Experienced in Cloud Data & AI Services from Azure & AWS (S3, Glue, OpenSearch, Bedrock, Azure OpenAI, etc.) and Cloud Data Platforms (Databricks)

  • Experienced in data programming languages (Python, R, SQL)

  • Experienced in Agile methodology and software development lifecycle

  • Skilled with Collaboration Tools, such as JIRA & Confluence

  • Capable in Technical Architecture and Solution Design

  • Capable in Change Management

  • Capable in UX/UI design

The annual base salary range for this position is $180,000 - $260,000.

This job is eligible to participate in our short-term incentives program.

At Ipsen we are proud to offer a comprehensive employee benefits package, including 401(k) with company contributions, group medical, dental and vision coverage, life and disability insurance, short- and long-term disability insurance, as well as flexible spending accounts. Ipsen also provides parental leave, paid time off, a discretionary winter shutdown, well-being allowance, commuter benefits, and much more.

The pay range displayed above is the range of base pay compensation within which Ipsen expects to pay for this role at the time of this posting. Individual compensation within this range depends on a variety of factors, including, but not limited to, prior education and experience, job-related knowledge and demonstrated skills

We are committed to creating a workplace where everyone feels heard, valued, and supported; where we embrace "The Real Us". The value we place on different perspectives and experiences drives our commitment to inclusion and equal opportunities. When we include diverse ways of thinking, we make more thoughtful decisions and discover more innovative solutions. Together we strive to better understand the communities we serve. This means we also want to help you perform at your best when applying for a role with us. If you require any adjustments or support during the application process, please let the recruitment team know. This information will be handled with care and will not affect the outcome of your application. Ipsen is an equal opportunity employer that strictly prohibits unlawful discrimination. We recruit, employ, train, compensate, and promote without regard to an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.