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Director Data Science Jobs in Albany, NY (NOW HIRING)

Versant Health

Senior Data Scientist

Troy, NY · On-site

This role operates at the intersection of data science, data engineering, cloud analytics platforms ... Lead and influence analytics standards without direct authority. * Define best practices for: model ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

... without direct authority. • Define best practices for: model documentation, audit artifacts ... Required : • Master's degree in data science, statistics, mathematics, computer science ...

PNC Bank

Fraud Data Scientist (Lending)

Schenectady, NY

$55K - $113K/yr

Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ... direct industry experience. Certifications are often desired. In lieu of a degree, a comparable ...

Pwc

AI & GenAI Data Scientist - EUR- Director

Albany, NY · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Senior Manager

Albany, NY

$124K - $280K/yr

Direct the team through complexity, demonstrating composure through ambiguous, challenging and ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

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How much do director data science jobs pay per year?

As of May 28, 2026, the average yearly pay for director data science in Albany, NY is $153,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $188,100.00 per year, depending on experience, location, and employer.

What is a Director Data Science job?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

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

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What types of teams and professionals will I collaborate with as a Director Data Science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.
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Director Data Science jobs near you
Executive Director- Analytics and Data Science

Executive Director- Analytics and Data Science

Excelsior College

Albany, NY • Hybrid

$110K - $120K/yr

Full-time

Posted 28 days ago

Job description

The Executive Director, Analytics and Data Science, is a senior leader within Excelsior University’s Office of Analytics and Data Science (ADS), reporting to the Chief Analytics Officer. This position oversees analytics initiatives supporting both Academic Affairs and Transformative Partnerships—leading a team of three data scientists and analysts to deliver high-impact insights that advance student success, curriculum optimization, enrollment growth, and institutional performance. The Executive Director collaborates directly with senior leadership, including the Provost, Executive Deans, and the Special Assistant for Transformative Partnerships, to translate data into strategy. The ideal candidate brings deep analytical expertise, organizational leadership, and the ability to synthesize complex findings into clear, actionable recommendations. This is a full-time hybrid role requiring a minimum of two onsite days per week at Excelsior University’s headquarters in Albany, NY, with remaining days remote.

Duties and Responsibilities: 

- Provide strategic leadership for analytics initiatives across Academic Affairs and Transformative Partnerships.
- Lead, mentor, and develop a team of three data scientists and analysts.
- Serve as primary liaison to Academic Affairs on student success, curriculum design, and faculty analytics.
- Serve as primary liaison to Transformative Partnerships on market growth, enrollment trends, and partner performance.
- Design and oversee predictive and prescriptive analytics models to inform institutional strategy.
- Translate data insights into clear, actionable recommendations for senior leaders.
- Partner with institutional leaders to define KPIs and success metrics.
- Ensure analytical outputs are methodologically sound, interpretable, and aligned with Excelsior’s equity and innovation goals.
- Advance Excelsior’s AI and decision-intelligence strategy in collaboration with the Chief Analytics Officer.
- Promote data literacy and evidence-based decision-making across the university.
- Maintain high standards of data governance, privacy, and integrity.
- Foster a culture of collaboration, innovation, and continuous improvement.

Qualifications:  

  • Master’s degree in Data Science, Operations Research, Statistics, Economics, Business Analytics, or a related field (or equivalent experience).
  • At least 10 years of progressively responsible experience in analytics or data science, including 3+ years in leadership.
  • Demonstrated success translating analytical insights into strategy for non-technical audiences.
  • Proven experience managing and mentoring analytical teams. Strong technical knowledge of predictive modeling, data visualization, and experimental design.
  • Excellent communication, collaboration, and organizational skills.

The hiring salary range for this position is $110,000.00 - $120,000.00. The hiring salary range above represents the University's good faith estimate at the time of posting

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