Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist Contractor for Marketing, lasting 6+ months, based in New York City (Hybrid or Remote). Requires 4+ years in data science, advanced SQL and Python skills, and experience with A/B testing in e-commerce.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 9, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Mathematics #A/B Testing #Monitoring #Leadership #Python #Statistics #SQL (Structured Query Language) #Data Science #CRM (Customer Relationship Management)
Role description
Title: Data Scientist Contractor, Marketing Location: New York City (Hybrid or Remote) Duration: 6+ Months Client: The Knot Job Description The Knot Worldwide is actively seeking a Data Scientist to bolster our Marketing Science team. This role is centered around supporting our experimentation roadmap through experiment scoping, power analyses, test monitoring, and post-test analysis. We’re looking for someone who can not only be a hands-on executor but also provide thought leadership for improving our testing process and velocity. As a Data Scientist, you will be responsible for: β€’ Collaborating with marketing stakeholders across Brand Media, Lifecycle Marketing, Product Marketing, CRM or Acquisition Marketing to on experimentation. β€’ Partner with stakeholders on scoping experiments and providing power analyses before experiment starts. β€’ Monitoring live experiments and sharing regular updates. β€’ Completing post-test analyses. β€’ Providing regular insights to data leadership on improvements in experimentation process or technology to accelerate the testing velocity. To be successful in this role, you should have: β€’ A bachelor’s in Statistics, Mathematics, Data Science, Engineering, or a related field β€’ A minimum of 4 years of experience in data science and analytics roles within technology brands, with a preference for experience in a two-sided marketplace or e-commerce domain. β€’ Advanced knowledge of SQL and ability to write efficient SQL code. β€’ Advanced knowledge of python and relevant experimentation packages. β€’ Experience with A/B testing for marketing. β€’ Experience with match market testing or other causal inference approaches. β€’ Excellent communication skills, both written and verbal, with the ability to explain complex concepts to audiences of varying technical proficiency. β€’ A strategic mindset capable of translating business problems into analytics opportunities and solutions. β€’ A collaborative attitude that fosters a culture of data-driven decision making across the organization. β€’ An innovative spirit that thrives on exploring new ideas and approaches to solve challenging problems. Skills β€’ Direct marketing β€’ Experiments β€’ testing