Mid Level Data Science Analyst Jobs
Mid level data science analyst jobs go to analysts ready to own projects end to end, translate findings into business decisions, and guide junior teammates without needing close oversight. Openings are concentrated across Retail, Technology & Software, and Consulting & Professional Services, with a strong share of remote and hybrid work available, and employers like Walmart, ZS, and Amazon hiring at this level now.
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Showing 5 of 119+ Mid Level Data Science Analyst 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 Analyst Jobs
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Find JobsMid Level Data Science Analyst 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 Analyst Jobs: Frequently Asked Questions
How do I get a mid level data science analyst job?
Position your experience around ownership, not just execution. Highlight projects where you defined the analytical approach, delivered recommendations to stakeholders, or improved a pipeline on your own initiative. Tailor your resume to show measurable impact, demonstrate fluency with SQL, Python, or R alongside visualization tools, and make clear that you can work independently across the full analysis cycle from scoping through delivery.
Which companies hire mid level data science analysts?
Companies hiring mid level data science analysts right now include Walmart, ZS, and Amazon, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers large enterprises with dedicated analytics teams, mid-size technology and financial services firms building out their data functions, and consulting organizations staffing project-based analyst roles.
Are there remote mid level data science analyst jobs?
Yes, remote work is widely available at this level. About 32% of mid level data science analyst openings are remote or hybrid as of July 2026, reflecting how much of the work centers on code, models, and dashboards that travel well outside an office. Fully on-site roles tend to appear most often in regulated industries like healthcare and finance where data access requirements are stricter.
How do I move up to a mid level data science analyst role?
The move from entry level to mid level is built on demonstrated ownership over time. Early career analysts who take on progressively complex projects, develop a specialty in an area like predictive modeling, A/B testing, or business intelligence, and start presenting findings directly to stakeholders position themselves well. Consistently delivering measurable business impact, rather than just completing assigned tasks, is what signals readiness for mid level responsibilities.
Which industries hire the most mid level data science analysts?
Mid Level data science analyst roles concentrate in Retail, Technology & Software, and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. These sectors generate large, complex data sets and face competitive pressure to make faster, evidence-based decisions, which sustains strong demand for analysts who can work independently and communicate insights to non-technical stakeholders.