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Data Scientist, Marketing
Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listed on 2026-01-15
New York, New York County, New York, 10261, USA
Listing for:
SalaryGuide
Remote/Work from Home
position Listed on 2026-01-15
Job specializations:
-
IT/Tech
Data Analyst
Job Description & How to Apply Below
Responsibilities
- Identify high-impact opportunities through data exploration and generate strategic insights to optimize marketing funnel conversion rates
- Define key marketing metrics and develop scalable reporting systems to monitor pipeline health and campaign performance
- Collaborate with cross-functional teams to share insights, improve processes, and influence marketing strategies
- Design, execute, and analyze A/B tests to evaluate the impact of product features, campaigns, and initiatives
- Provide expertise in analyzing customer journey metrics such as ROI, Customer Lifetime Value (CLTV), and conversion rates
- Support the development of attribution models to accurately measure marketing channel effectiveness
- Work with data scientists and analysts across the organization to share best practices and foster a data-centric culture
- Continuously stay updated on new analytical techniques and tools to improve data analysis capabilities
- 3+ years of experience in Data Science supporting marketing functions, preferably in a B2B SaaS environment
- Proficiency in SQL with at least 3 years of hands-on experience in data manipulation and analysis
- Strong scripting skills in Python or R for data analysis and automation
- Experience with data visualization tools such as Tableau or similar platforms
- Excellent communication skills, capable of translating complex data insights to non-technical stakeholders
- Experience with marketing attribution models across multiple channels including SEO, Paid Search, and Social Media
- Proven ability to design and analyze A/B tests to measure feature impacts and campaign effectiveness
- Bachelor’s or advanced degree in computer science, engineering, statistics, economics, or related quantitative discipline
- Comprehensive health, dental, and vision insurance plans
- Flexible work arrangements and remote work setup
- Generous paid time off and holiday leave
- Professional development opportunities and ongoing training
- Inclusive and diverse work environment that values different perspectives
- Employee wellness programs and resources
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