Sr Data Scientist at PeopleConnect
San Diego, CA 92101, USA -
Full Time


Start Date

Immediate

Expiry Date

13 Sep, 25

Salary

165600.0

Posted On

13 Jun, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Automation Tools, Hubspot, Google Cloud, Azure, Attribution Modeling

Industry

Marketing/Advertising/Sales

Description

People Search is an award-winning web development division in our PeopleConnect portfolio that services over one million customers nationwide. Our cutting-edge technology connects, informs and protects people — both online and off. Our websites are consistently ranked in the top 500 top traffic sites in the US. Our products have been featured on the Discovery Channel, Mashable, Vice, Entrepreneur, Business Insider — and even made a cameo in a Disney animated comedy! A pioneer of new ideas, we’re constantly looking to develop and deploy innovative strategies and solutions. Our people and culture are second to none: we’re innovative, creative, collaborative, and talented. Together — we work magic!

WHO WE’RE LOOKING FOR:

We are looking for an experienced Senior Data Scientist to leverage advanced analytics and machine learning to uncover actionable insights and optimize marketing campaigns. This role requires expertise in building propensity models with limited supervision to predict customer behavior and enhance marketing effectiveness. The ideal candidate will have a strong analytical mindset, 5+ years of relevant experience, and a proven track record of delivering impactful data-driven solutions.
This position offers an exciting opportunity to contribute to PeopleConnect’s continued growth and success. This role will work closely with cross-functional business and leadership and will use its unique vantage point to challenge business assumptions and optimize the balance between cost, speed and accuracy.
The ideal candidate has demonstrated the following abilities: you influence business owners, support thoughtful decision-making, and adapt to a rapidly evolving environment. You collaborate with various business units across the organization with excellent verbal and written communication skills. You quickly learn operations to understand economics and key financial drivers, and gain proficiency with PeopleConnect data systems to conduct efficient analyses while exercising controllership.

What You’ll Do (but not limited to):

  • Develop, implement, and maintain propensity models to predict customer behaviors, such as purchase likelihood, churn risk, or campaign response rates, with minimal oversight.
  • Analyze large datasets from marketing campaigns, customer interactions, and external sources to identify trends, patterns, and opportunities for optimization.
  • Collaborate with marketing, product, and business teams to translate analytical insights into actionable strategies and campaign improvements.
  • Design and execute A/B tests and other experiments to measure the impact of marketing initiatives.
  • Create dashboards, visualizations, and reports to communicate findings and recommendations to stakeholders.
  • Stay current with industry trends, tools, and methodologies in marketing analytics and data science.
  • Ensure data integrity, model accuracy, and compliance with data privacy regulations (e.g., GDPR, CCPA).
  • Other duties as assigned.
Responsibilities
  • Develop, implement, and maintain propensity models to predict customer behaviors, such as purchase likelihood, churn risk, or campaign response rates, with minimal oversight.
  • Analyze large datasets from marketing campaigns, customer interactions, and external sources to identify trends, patterns, and opportunities for optimization.
  • Collaborate with marketing, product, and business teams to translate analytical insights into actionable strategies and campaign improvements.
  • Design and execute A/B tests and other experiments to measure the impact of marketing initiatives.
  • Create dashboards, visualizations, and reports to communicate findings and recommendations to stakeholders.
  • Stay current with industry trends, tools, and methodologies in marketing analytics and data science.
  • Ensure data integrity, model accuracy, and compliance with data privacy regulations (e.g., GDPR, CCPA).
  • Other duties as assigned
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