Head of Data Science

Harnham; New York (NY); Remote; USD 190,000 - 215,000; Full time

Job summary

A leading organization in FinTech is seeking a Director of Data Science to oversee and enhance their machine learning initiatives. In this remote role, you will lead a dynamic team, drive data-driven decision-making, and shape the future of AI within the company. The position requires extensive experience in data science, strong leadership skills, and the ability to communicate effectively with executive stakeholders.

Benefits

Competitive compensation and equity

Fully remote flexibility

High-visibility role with executive sponsorship

Qualifications

• 10+ years in data science or machine learning, with 2+ years in a formal leadership role.
• Proven experience deploying and monitoring ML models in production environments.
• Strong communication skills and business acumen.

Responsibilities

• Lead a high-performing team of data scientists, owning the ML model lifecycle.
• Collaborate cross-functionally to scope high-ROI initiatives.
• Champion best practices in model governance and responsible AI.

Skills

Python

SQL

Machine Learning

Data Governance

Model Deployment

Cross-Functional Collaboration

Tools

DataRobot

Snowflake

Sagemaker

Job description

Direct message the job poster from Harnham

Placing the Top Data Science and Analytics Talent (NYC)

Director of Data Science

LOCATION: Remote (US-based)

SALARY: $190,000 - $215,000 + Bonus

INDUSTRY: FinTech / Consumer Services

Are you a visionary data science leader with a passion for delivering real business impact? A high-growth, mission-driven consumer services organization is looking for a Director of Data Science to lead and scale their machine learning practice. This is a unique opportunity to drive enterprise-level value through operationalized AI while partnering with senior leadership to influence strategy.

THE COMPANY

This organization is a well-established player in the financial services space, serving millions of consumers with a mission to create better financial outcomes. With a fast-evolving data function and strong executive buy-in, they're investing heavily in AI/ML to transform decision-making, automate key workflows, and unlock new product capabilities.

THE ROLE

As Director of Data Science, you'll lead a high-performing team of data scientists and a product manager, owning the end-to-end lifecycle of machine learning models-from ideation to production. You'll work cross-functionally with engineering, product, and operations teams to scope high-ROI initiatives and ensure scalable, ethical deployment of models via batch inference and real-time APIs.

This is a highly visible role reporting to executive leadership, offering autonomy, strategic influence, and the opportunity to shape the future of AI across the business.

KEY RESPONSIBILITIES:

• Lead, mentor, and grow a team focused on building production-grade ML models aligned with business goals.
• Drive the discovery, prioritization, and ROI evaluation of new data science initiatives.
• Architect and oversee the full ML lifecycle-development, deployment, monitoring, and retraining.
• Collaborate with data engineering and MLOps teams to ensure scalable and reliable pipelines using Snowflake, DataRobot, and real-time APIs.
• Champion best practices in model governance, explainability, and responsible AI.
• Present insights and strategy recommendations to executive stakeholders in a compelling, accessible manner.

YOUR SKILLS & EXPERIENCE

Required:

• 10+ years in data science or machine learning, with 2+ years in a formal leadership or player-coach role.
• Strong expertise in Python and SQL, with deep understanding of supervised and unsupervised learning.
• Proven experience deploying and monitoring ML models in production environments (batch and real-time).
• Track record of cross-functional collaboration with engineering, product, and business leaders.
• Familiarity with model deployment platforms like DataRobot, Sagemaker, or similar.
• Experience with Snowflake-native ML or integrated MLOps workflows.
• Strong communication skills and business acumen-able to influence at the executive level.

Nice to Have:

• Background in financial services, lending, or high-volume consumer products.
• Exposure to prescriptive analytics and optimization techniques.

BENEFITS

• Competitive compensation and equity
• Fully remote flexibility
• High-visibility role with executive sponsorship
• Opportunity to build a cutting-edge ML function from the ground up

HOW TO APPLY

Please send your CV to Oisin Ennis at Harnham to learn more about this exciting opportunity.

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

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