Data Scientist jobs in United States
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Amaze · 18 hours ago

Data Scientist

Amaze is seeking a passionate and innovative Data Scientist to lead their data strategy and support business growth. The role involves organizing data, deriving insights, and collaborating with various teams to optimize products and business operations.

Content CreatorsE-Commerce PlatformsMarketing AutomationSocial ShoppingSoftware
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H1B Sponsor Likelynote
Hiring Manager
Willis Ha, MBA, PMP
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Responsibilities

Become an expert on our business and develop the analytics, data models, dashboards, and reporting relating to it with a heavy emphasis on providing necessary data to the marketing team
Review, optimize, and propose, tools capturing data across the full customer journey; manage all BI tools
Work with stakeholders to ensure that they understand their part of the product or business and how it is performing
Find insights that suggest future directions and improvements in the product and business
Work with Product, Marketing, Engineering, and our third-party tooling providers to ensure that our data is up-to-date and error-free
Hands-on development, tuning, and overall management of our Data platforms
Establishing data principles, and practices to plan, manage, and deliver solutions - ensuring integrity, quality and timeliness of data
Training, mentoring and supporting teams to gain a data mindset, and understand data principles, and practices. Extend data literacy and curiosity throughout the whole company through education projects
Responsibility for the data considerations during the development of new features, functionality, and optimization from raw data ingestion, to the access and modeling layer, through to maintaining the visualization layer
Providing functional and technical subject matter expertise with respect to data management, business intelligence, and reporting
Establish close partnership with leadership—especially Product, Engineering, and Marketing—to define the strategic data architecture and roadmap aligned to business strategy
Apply product-embedded data science practices, including event- and behavioral-data modeling and support for AI- and ML-driven product features through signal design, evaluation, and feedback loops, while managing planning and delivery of data projects and initiatives across the wider business
Evaluate existing and new Data solutions to ensure they support current business needs and growth
Work closely with stakeholders to align technologies and capabilities with business strategies while delivering pragmatic excellence when supporting business data needs by leveraging the existing platforms and architecture patterns where possible
Have an end-to-end vision, and see how a logical design will translate into one or more physical data models, and how the data will flow through the layered architecture within the data landscape
Evaluate and renew implemented data solutions, to ensure their relevance and effectiveness in supporting business needs and growth
Emphasize the importance of and ensure that data management practices are embedded in all data solutions
Ultimately, establish and grow the data area of business at Amaze to support our big vision

Qualification

Data EngineeringSQLData VisualizationData WarehousingAI/ML KnowledgeTableauBusiness IntelligenceCommunication SkillsLeadership ExperienceProblem SolvingOrganizational Skills

Required

7+ Years of Data/Engineering Experience including experience building and leading teams
Extensive and proven experience in startups - bring clarity to projects, teams and data to achieve business goals and fast-paced growth
Experience working with marketing teams to help accelerate company growth and double down on marketing programs that are contributing to revenue growth
Strong competency with SQL, and Tableau and like tools; experience with data-warehouses such as Snowflake, FiveTran, or BigQuery is a plus!
Experience wrangling and analyzing data including migrating from client to server-side data solutions
Experience with optimizing product funnels, running experiments, and building dashboards that effectively communicate results and outcomes
Experience working with a broad variety of teams from marketing to engineering
Familiarity with a wide set of Data Warehouse architectures and methodologies, schemas, and performance/optimization principles
Strong technical knowledge of data integration, metadata and BI analytics tools
Strong communication, influencing and interpersonal skills. An engaging personality who can take the business on the journey with them. Be able to break down complex topics into simple solutions and ideas
Highly organized, self-motivated, proactive and able to plan
Ability to analyze, understand complex problems and explain technical information in business terms
Experience using Snowflake, Google Analytics, Tableau, PowerBI or similar BI/data visualization tools
Strong background in AI, specifically with dbt Semantic Layer and similar technologies
Comfortable working with stakeholders to build up accurate reports on their areas of the business
Experience with establishing A/B testing and experiment analysis is a plus
Experience with very large data sets is a plus. Any prior experience with creative data visualization or design is also valuable
It will require close coordination with several stakeholders and a real sense of drive and initiative to keep things moving. Nobody tells you what to do; you identify the opportunities where your team can make the largest impact and you see it through

Company

Amaze

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Amaze makes it easy for ambitious brands to turn their ideas into revenue and scale what works.

H1B Sponsorship

Amaze has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
2020 (1)

Funding

Current Stage
Public Company
Total Funding
$56.53M
Key Investors
Parler Cloud TechnologiesInsight PartnersJavelin Venture Partners
2025-10-15Post Ipo Equity· $6.96M
2025-08-11Post Ipo Equity· $6M
2024-11-04Acquired

Leadership Team

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Aaron Day
Chief Executive Officer
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Joel Krutz
Chief Financial Officer
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Company data provided by crunchbase