Harnham
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Senior Consultant - Leading Advanced Analytics & Data Science For Harnham 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 Referrals increase your chances of interviewing at Harnham by 2x Sign in to set job alerts for “Head of Data Science” roles.
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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 Referrals increase your chances of interviewing at Harnham by 2x Sign in to set job alerts for “Head of Data Science” roles.
Don't see your dream job listed? Apply here!
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