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Manager Of Data Science Jobs in New Mexico (NOW HIRING)

Data Science Tutor

Albuquerque, NM · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

New

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

New

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

New

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Showing results 1-20

Manager Of Data Science information

See New Mexico salary details

$30K

$94.1K

$166.7K

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

As of Sep 6, 2026, the average yearly pay for manager of data science in New Mexico is $94,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $121,600.00 per year, depending on experience, location, and employer.

What is a manager of data science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

How does a manager of data science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

What are the key skills and qualifications needed to thrive as a manager of data science, and why are they important?

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

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

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

Head of Data Science - Document Verification & Biometrics (Miami)

Socure

Miami, NM • On-site

Full-time

Re-posted 5 days ago


Job description

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About The Role

We are seeking an exceptional and forward‑thinking leader to drive the next generation of AI‑powered Document Verification and Biometrics solutions. This role owns the end‑to‑end data science strategy and execution across document understanding, facial biometrics, and reusable identity systems, powering seamless and secure identity experiences.

You will lead the evolution from traditional computer‑vision systems to foundation model–driven, agentic architectures, tackling increasingly sophisticated threats such as deepfakes, presentation attacks, and counterfeit documents. This role demands a leader who operates with strong ownership, moves decisively, and consistently pushes the boundary of what is possible in applied AI.

What You’ll Do
  • Own and define the data science vision for Document Verification, Biometrics, and Reusable ID, delivering step‑function improvements in accuracy, speed, and user experience.
  • Lead and scale a high‑performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
  • Architect and deploy state‑of‑the‑art computer‑vision and multimodal systems, including vision‑language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
  • Drive the development of domain‑specific foundation models tailored to identity, documents, and biometrics, leveraging large‑scale proprietary datasets.
  • Lead the transition to agentic systems, building intelligent agents that can reason over document and biometric signals, automate verification workflows, and adapt dynamically to new fraud patterns.
  • Advance fraud and attack detection capabilities, including deepfake detection, presentation attack detection, and counterfeit document detection.
  • Design and implement secure and robust systems resilient to emerging threats such as prompt injection and adversarial attacks on multimodal and agent‑based systems.
  • Leverage vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences.
  • Partner closely with Product, Engineering, and Risk teams to deliver scalable, production‑grade solutions that meet both business and regulatory requirements.
  • Drive rapid experimentation and deployment, balancing innovation with reliability, explainability, and compliance.
  • Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade‑offs, and roadmap decisions while building strong, long‑term relationships.
  • Represent Socure externally as a thought leader in biometrics, document AI, and fraud prevention.
What You Bring
  • Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field.
  • 10+ years of experience in data science, machine learning, or applied AI, with a strong track record of building and deploying production systems.
  • Deep expertise in computer‑vision and multimodal AI, including experience with vision‑language models (VLMs).
  • Proven experience building domain‑specific foundation models or large‑scale representation learning systems.
  • Strong understanding of biometric systems, including face recognition, liveness detection, and anti‑spoofing techniques.
  • Experience detecting and mitigating deepfakes, presentation attacks, and counterfeit documents.
  • Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real‑world deployment of autonomous or human‑in‑the‑loop agents.
  • Experience with vector databases and embedding‑based retrieval systems.
  • Strong awareness of emerging attack vectors, including prompt injection, adversarial inputs, and model exploitation techniques.
  • Proven ability to lead and scale high‑performing teams while delivering under ambiguity and tight timelines.
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch).
  • Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade‑offs, and outcomes to both technical and non‑technical audiences.
  • Experience representing organizations in customer‑facing discussions, executive briefings, or public speaking engagements is strongly preferred.
What’s Ahead: Areas of Innovation
  • Agentic Document Verification systems that can reason, adapt, and automate complex verification workflows.
  • Deepfake detection at scale, across images, video, and multimodal inputs.
  • Injection and adversarial attack detection for multimodal and agent‑based systems.
  • Agentic red teaming, proactively identifying and mitigating vulnerabilities in AI systems.
  • Reusable identity platforms, enabling seamless and secure identity reuse across channels.
What You’ll Get
  • Work on industry‑defining problems at the intersection of AI, identity, and security.
  • Build cutting‑edge systems spanning computer‑vision, multimodal AI, and autonomous agents.
  • Join a fast‑moving, high‑caliber team that values ownership and innovation.
  • Competitive compensation, equity, and benefits.
  • Opportunity to shape the future of digital identity globally.

Please note that we can only hire within ~45 miles of San Francisco, New York, Seattle, Miami, and DC. We are unable to provide sponsorship support now or in the future.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Compensation Range: $250K - $300K

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