ZipRecruiter

Log In

1

Director International Data Science Jobs (NOW HIRING)

SageSure

Director Data Science

Jersey City, NJ · On-site

SageSure, a leader in catastrophe-exposed property insurance, is seeking a Director, Data Science. In this role, you will lead a team of data scientists in solving some of the most complex and high ...

PURE Insurance

Director, Data Science

PURE is seeking a Director, Data Science to help professionalize, scale, and lead our data science practice as a true engineering discipline. This is a foundational role at a pivotal moment: our VP, ...

AEG

Director, Data Science

Sacramento, CA · On-site

As part of the Business Intelligence team, the Director of Data Science will lead advanced analytics initiatives that translate complex data into actionable recommendations across ticketing, retail ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

The Director, Data Science will lead the team responsible for turning the data generated by the fleet, simulation environment, and ML systems into insights that enhance the efficiency and safety of ...

Chewy

Director, Data Science

Bellevue, WA · On-site

Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy--fully accountable for the science strategy and production implementation behind Chewy's onsite ...

Chewy

Director, Data Science

Bellevue, WA · On-site

Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy-fully accountable for the science strategy and production implementation behind Chewy's onsite ...

May Mobility

Director, Data Science

The Director, Data Science will lead the team responsible for turning the data generated by our fleet, simulation environment, and ML systems into the insights, evaluations, and decisions that make ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsDatabase Administrator JobsDirector International Data Science Jobs

Director International Data Science information

See salary details

$54K

$154.9K

$244K

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

As of Sep 9, 2026, the average yearly pay for director international 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 does a director of international data science do?

A Director of International Data Science leads data science teams and projects across multiple countries, overseeing the development and implementation of data-driven strategies to support global business objectives. This role involves managing cross-functional teams, standardizing data practices, ensuring compliance with international regulations, and collaborating with stakeholders to drive innovation and business growth. They also play a key role in developing global analytics frameworks and ensuring that data initiatives align with organizational goals.

What are the key skills and qualifications needed to thrive as a director of international data science?

To thrive as a Director International Data Science, you need advanced expertise in statistical modeling, machine learning, and data analytics, typically supported by a graduate degree in a quantitative field and significant leadership experience. Familiarity with big data platforms (such as Hadoop or Spark), programming languages (like Python or R), and cloud-based analytics tools, along with certifications in data science or project management, is highly valuable. Exceptional communication, cross-cultural leadership, and strategic vision are critical soft skills for managing global teams and aligning data initiatives with business goals. These skills and qualities are essential for driving impactful data-driven decisions and fostering innovation in a complex, international environment.

How does a director of international data science typically collaborate with cross-cultural teams across different regions?

A Director of International Data Science often leads diverse teams spread across multiple countries, requiring effective cross-cultural communication and coordination. This role involves aligning global strategies with local market needs, managing time zone differences, and fostering collaboration through regular virtual meetings and clear documentation. Building strong relationships with regional stakeholders and understanding cultural nuances are key to ensuring that data-driven initiatives are both globally consistent and locally relevant. Adaptability and strong interpersonal skills are essential for successfully managing these international collaborations.

What is the difference between Director International Data Science vs Data Science Manager?

AspectDirector International Data ScienceData Science Manager
CredentialsAdvanced degrees in Data Science, Statistics, or related fields; extensive experienceBachelor's or Master's in Data Science, Computer Science, or related fields; several years of experience
Work EnvironmentStrategic leadership, cross-cultural teams, global projectsTeam management, project execution, technical oversight
Employer & Industry UsageGlobal corporations, multinational companies, tech firmsTech companies, startups, corporate data teams
Search & Comparison IntentUnderstanding senior leadership roles in international data scienceManaging data science teams and projects

The main difference is that the Director International Data Science focuses on strategic, global leadership and high-level decision-making across international teams, while the Data Science Manager handles day-to-day team management and project execution within a specific region or department.

What cities are hiring for Director International Data Science jobs?

Cities with the most Director International Data Science job openings:

What are the most commonly searched types of International Data Science jobs?

The most popular types of International Data Science jobs are:

What states have the most Director International Data Science jobs?

States with the most job openings for Director International Data Science jobs include:

What are popular job titles related to Director International Data Science jobs?

For Director International Data Science jobs, the most frequently searched job titles are:

Director International Data Science jobs near you

Director Data Science

Jersey City, NJ • On-site

SageSure
Insurance Services • 501 - 1,000 employees
Learn more about SageSureexternal

Full-time

Posted 22 days ago

Key responsibilities

  • Lead a team of data scientists in developing and deploying machine learning models and advanced analytics solutions.

  • Partner with senior leaders to understand business needs and translate them into data science strategies and roadmaps.

  • Oversee the design, development, and deployment of data-driven solutions that improve operational efficiency and support decision-making.

Job description

Overview:
If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Director, Data Science. In this role, you will lead a team of data scientists in solving some of the most complex and high-impact challenges in the business. You will guide the development of advanced analytics, AI, and machine learning solutions while shaping strategy, influencing cross-functional decision-making, and building scalable processes that mature SageSure's data capabilities.
We are looking for a highly motivated, strategically minded, and innovative leader who thrives in both ambiguity and complexity-someone who can elevate team performance, collaborate across the organization, and set a vision for the future of Data Science at SageSure.
What you'd be doing:
  • Partner with senior leaders across Product, Engineering, Program, and Operations to understand business needs and translate them into a cohesive Data Science strategy and roadmap.
  • Influence and align stakeholders by articulating clear priorities, trade-offs, and expected outcomes; ensure downstream teams have full context to execute effectively.
  • Foster a culture of accountability, collaboration, and continuous improvement across the team and cross-functional partners.
  • Lead, mentor, and develop a high-performing team of data scientists; provide coaching, career development, and structured feedback while ensuring clarity of expectations.
  • Build strong team health by promoting inclusion, psychological safety, and a values-driven culture.
  • Ensure the team structure, processes, and operating rhythms support long-term scalability and organizational needs.
  • Oversee the design, development, and deployment of machine learning models and advanced analytics solutions that drive business impact, improve operational efficiency, and strengthen decision-making.
  • Champion experimentation, innovation, and responsible use of AI; ensure solutions adhere to best practices in model governance, data ethics, and performance monitoring.
  • Translate complex technical concepts into clear, actionable insights for non-technical stakeholders, including senior executives.
  • Build and refine scalable processes, documentation, and standards that enhance quality, reproducibility, and onboarding efficiency.
  • Ensure responsible stewardship of data, models, and technical resources; make fiscally sound decisions aligned with departmental objectives and priorities.
  • Break down silos by promoting cross-functional problem-solving and encouraging teams to think beyond their lane to achieve shared goals.

We're looking for someone who has:
  • Bachelor's or Master's degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, etc.).
  • 3+ years of leadership experience managing data scientists or analytics teams in a fast-paced environment.
  • Deep expertise in Python, SQL, and modern data science/ML tooling (Pandas, NumPy, TensorFlow, etc.).
  • Strong understanding of AWS or comparable cloud architecture.
  • Demonstrated success delivering machine learning solutions that drive measurable business outcomes.
  • Proven ability to think strategically, manage complex initiatives, and prioritize effectively across competing demands.
  • Exceptional communication skills, with the ability to influence senior executives and guide teams through ambiguity.

Highly preferred candidates also have:
  • Experience in P&C insurance or another highly regulated, data-intensive industry.
  • Exposure to large-scale, real-time data pipelines and MLOps practices.
  • Experience building cross-functional operating models, processes, or governance frameworks.
  • Experience leading through organizational change and building long-term analytics foundations.

Data and AI at SageSure:
At SageSure, data and AI aren't just functions-they're engines for innovation. Our Data & AI organization brings together Data Science, Business Intelligence, Data Management, and emerging AI capabilities to power smarter decisions and deliver meaningful impact across the business. From advanced machine learning models to scalable data ecosystems and real-time insights, we transform complex information into clarity that drives strategic outcomes.
We're building a team of curious, collaborative problem-solvers who are excited about pushing the boundaries of what data and AI can do. Whether you're developing predictive models, enhancing AI-driven capabilities, strengthening data governance, or uncovering insights that influence key decisions, you'll play a critical role in shaping how SageSure uses data and intelligence to lead the future of insurance.
About SageSure:
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.
We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges.
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.
California Applicants: View SageSure's Workforce Members' Privacy Notice - CA Privacy Policy & Notice of Collection

Apply