Sr. Data Scientist, Marketing Analytics

About Slickdeals:

On a mission to bring the joy of discovering a great deal to shoppers, Slickdeals thrives on the active participation of its 12-million-strong community. Users share, upvote, and uncover the best prices on popular products from trustworthy brands.

With a robust track record of 24 years in business, marked by profitability and a thriving community that has saved more than $10 billion, Slickdeals is currently undergoing a transformation. As we evolve into a daily shopping destination for millions more, joining Slickdeals presents an exciting opportunity for entrepreneurially minded builders to create an innovative deal discovery platform.

The Purpose:

The Marketing team at Slickdeals is seeking a Sr. Data Scientist, Marketing Analytics to join our Marketing team. The Sr. Data Scientist, Marketing Analytics will partner closely with our marketing channel teams to improve the user lifecycle and lead pipeline through advanced analytics and machine learning. The ideal candidate will have a strong track record of delivering impactful analytical projects within the Growth, Lifecycle Marketing, and Demand Generation domains and partnering with cross-functional peers to guide and influence decision-making.

What You'll Do:

• Partner directly with the Marketing leadership team while working closely with data engineering.

• Build new metrics that bring richer insights to the table that further our understanding of our users.

• Mine large datasets to uncover patterns across our users' behaviors that lead to new marketing touchpoints.

• Optimize the marketing across our email, in-product, and push channels to ensure we send relevant, timely, personalized touchpoints to our users.

• Build machine learning models that help enhance our user understanding and lead pipeline.

• Design and run experiments to improve the user experience across our user lifecycle.

• Build an LTV/PLTV model and a lead-scoring process in close partnership with our Business Operations, Marketing, Product and Engineering teams.

• Guide your stakeholder's decisions and roadmaps with informative, evidence-based decision-making.

• Take on a broad and challenging scope of work in a rapidly evolving company.

• Drive impact through statistical methodologies, algorithms, and measurement frameworks.

• Collaborate with other Data Scientists across Slickdeals to continue to enhance the methodologies and practices used across the team that leverage the newest technological developments in the industry.

• Build and share data visualizations and self-serve dashboards for your partners

What We're Looking For:

• A bachelor degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role OR

• A graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role

• Proven track record of applying data science methods that drive impact.

• Fluent in SQL with strong data exploration and manipulation skills.

• Proficient in Python, R, or similar programming languages.

• Led the build of an LTV/PLTV model and/or a lead scoring model leveraging statistical methods and/or machine learning.

• Experience building recommendation systems to optimize marketing touchpoints.

• Has firm knowledge of experiment design and can translate business questions into sound experimental frameworks and measurement plans.

• Experience with cohort and funnel analyses, predictive modeling, pattern recognition and a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities

• Self-starting growth mindset and strong communication skills, translating technical insights into impactful business recommendations.

• Creative problem-solver who simplifies problems to their core elements.

• Demonstrated ability to motivate and empower teams to make good decisions with data and data visualizations

• Experience in a high-growth tech environment and bonus points if you have e-commerce or two-sided marketplace/crowdsourced experience

LOCATION: San Mateo, CA

Hybrid schedule visiting our San Mateo, CA office three days a week (Tues-Thurs).

Slickdeals Compensation, Benefits, Perks:

• Competitive salary and equity

• Competitive paid time off in addition to holiday time off

• A variety of healthcare insurance plans to give you the best care for your needs

• 401K matching above the industry standard

• Professional Development Reimbursement Program and LinkedIn Learning Membership

Work Authorization

Candidates must be eligible to work in the United States.

Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the "Ban the Box" legislation. We may access publicly available information as part of your application.

Slickdeals participates in E-Verify. For more information, please refer to E-Verify Participation and Right to Work.

Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees.