Mid Level Data Science Director Jobs
Mid level data science director jobs go to professionals ready to own analytics initiatives end to end, align cross-functional stakeholders, and mentor junior team members without constant oversight. Openings are concentrated across Retail, Technology & Software, and Consulting & Professional Services, with a strong mix of remote and hybrid work, and employers like Walmart, ZS, and Amazon hiring at this level now.
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Showing 5 of 119+ Mid Level Data Science Director jobs
DESCRIPTION
As part of the Brand Measurement team, you'll define the technical strategy and delivery of solutions that empower advertisers to measure campaign effectiveness, identify optimization opportunities, and drive tangible business outcomes. You'll work backward from the customer to identify needs, build scalable event-driven architectures, and partner across engineering, data science, and design to ship robust, data-driven reporting products. If you're passionate about the intersection of generative AI and measurement at scale, this is your team.
Key job responsibilities
- Design and architect scalable, high-performance systems that leverage generative AI to deliver brand measurement insights at billions-of-events scale
- Develop and implement innovative machine learning algorithms to optimize advertising performance reporting and customer insights
- Define technical strategy and roadmap for AI-powered measurement solutions — working backward from advertiser needs to scalable architecture
- Collaborate with product managers, scientists, and design teams to create intelligent, data-driven advertising measurement experiences
- Lead technical design reviews and mentor engineering team members to raise the bar on quality and delivery
- Drive strategic technical decisions that shape the future of brand measurement platforms across Amazon Ads
- Build and operate event-driven architectures that process billions of impressions and conversions daily with high reliability
A day in the life
You'll spend your time designing and implementing sophisticated AI-driven systems that enhance how advertisers measure brand impact. You'll prototype innovative solutions with cross-functional partners, tackle complex technical challenges in measurement at scale, and drive adoption through close collaboration with internal and external stakeholders.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
DESCRIPTION
As part of the Brand Measurement team, you'll define the technical strategy and delivery of solutions that empower advertisers to measure campaign effectiveness, identify optimization opportunities, and drive tangible business outcomes. You'll work backward from the customer to identify needs, build scalable event-driven architectures, and partner across engineering, data science, and design to ship robust, data-driven reporting products. If you're passionate about the intersection of generative AI and measurement at scale, this is your team.
Key job responsibilities
- Design and architect scalable, high-performance systems that leverage generative AI to deliver brand measurement insights at billions-of-events scale
- Develop and implement innovative machine learning algorithms to optimize advertising performance reporting and customer insights
- Define technical strategy and roadmap for AI-powered measurement solutions — working backward from advertiser needs to scalable architecture
- Collaborate with product managers, scientists, and design teams to create intelligent, data-driven advertising measurement experiences
- Lead technical design reviews and mentor engineering team members to raise the bar on quality and delivery
- Drive strategic technical decisions that shape the future of brand measurement platforms across Amazon Ads
- Build and operate event-driven architectures that process billions of impressions and conversions daily with high reliability
A day in the life
You'll spend your time designing and implementing sophisticated AI-driven systems that enhance how advertisers measure brand impact. You'll prototype innovative solutions with cross-functional partners, tackle complex technical challenges in measurement at scale, and drive adoption through close collaboration with internal and external stakeholders.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
See All 119+ Mid Level Data Science Director Jobs
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Find JobsMid Level Data Science Director Job Market
Who's Hiring
- Walmart13
- ZS7
- Amazon7
- Capital One4
- Adobe3
Top Industries Hiring
- Retail25
- Technology & Software25
- Consulting & Professional Services16
- E-Commerce & Online Marketplaces9
- Banking & Financial Services8
Mid Level Data Science Director Jobs: Frequently Asked Questions
How do I get a mid level data science director job?
Position yourself around ownership and decision-making, not just execution. Highlight projects where you drove the analytical strategy, defined the methodology, and delivered measurable business outcomes with limited supervision. Tailor your application to show you can bridge technical work and stakeholder communication, since mid level data science director roles expect both depth in modeling and the ability to translate findings into clear recommendations for non-technical audiences.
Which companies hire mid level data science directors?
Companies hiring mid level data science directors right now include Walmart, ZS, and Amazon, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers established enterprises building out data functions and growth-stage companies that need experienced practitioners who can operate independently and scale analytical capabilities across teams.
Are there remote mid level data science director jobs?
Yes, remote and hybrid options are widely available at this level. About 32% of mid level data science director openings are remote or hybrid as of July 2026, reflecting the role's project-based nature and the broader shift toward distributed data teams. On-site roles typically appear in industries where data work is closely tied to proprietary systems or regulated environments.
How do I move up to a mid level data science director role?
The path from entry level into a mid level data science director role is built on demonstrated ownership over time. Early-career data professionals grow into mid level by moving beyond assigned tasks, taking initiative on full project cycles, deepening expertise in machine learning or statistical modeling, and showing measurable impact through their work. Mentoring peers and contributing to cross-team decisions accelerates that transition significantly.
Which industries hire the most mid level data science directors?
Mid Level data science director roles concentrate in Retail, Technology & Software, and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they generate large volumes of complex data and need professionals who can move from raw analysis to strategic direction without requiring heavy management oversight.