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.
What We’re Looking For:
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
- 5+ years of experience in data science, marketing analytics, or a related role.
- Proven expertise in building and deploying propensity models (e.g., logistic regression, decision trees, gradient boosting).
- Proficiency in programming languages such as Python or R for data analysis and modeling.
- Experience with SQL for querying and manipulating large datasets.
- Familiarity with marketing analytics platforms (e.g., Google Analytics, Adobe Analytics) and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of statistical methods, machine learning algorithms, and experimental design.
- Excellent problem-solving skills and ability to work independently on complex analytical projects.
- Strong communication skills to present technical findings to non-technical stakeholders.
Preferred Qualifications:
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for data processing and model deployment.
- Knowledge of customer segmentation, lifetime value modeling, or attribution modeling.
- Familiarity with marketing automation tools (e.g., Salesforce, HubSpot) or CRM systems.
- Advanced degree (Master's or PhD) in a quantitative field.
Why Join Our Team?At PeopleConnect, we help people discover, connect, and manage information in meaningful ways. If you thrive in a collaborative, analytical, and impact-driven environment, this is your opportunity to be part of an innovative team shaping the future of People Search. Apply today and make an impact! 🚀Employees are able to enjoy our state-of-the-art office facilities. Our dog-friendly office includes complimentary snacks, beverages and crazy-good perks (free onsite gym, cold brew coffee and kombucha on tap, company-paid lunches, offsite team events, and more)!We offer very competitive salary + generous bonus package, 100% company paid health insurance (Medical, Dental, Vision) for all employees, UNLIMITED vacation, Paid Sick Leave, Paid Holidays, Paid Bereavement, Student Loan Repayment Program, 529 Education Savings Plan, Paid Parental Leave, subsidized Dependent Care, Training/Education Reimbursement, Paid Parking and 401k Plan with Company Match, Pet Insurance, Employee Referral Rewards…and more! Check us out here!Salary Range:Min: $125,800Mid: $143,700Max: $165,600The pay range reflects the salary amount the Company reasonably expects to pay for the position.
It is not a guarantee of actual compensation or a specific payment amount to any candidate. The actual compensation will depend on numerous factors including, without limitation, a particular candidate’s experience and qualifications.The Company's Applicant and Worker Privacy Notice can be found here.PeopleConnect is an equal opportunity employer.Local area candidates are encouraged to apply, and please note we are not able to offer visa sponsorship, visa transfer, or corp-corp arrangements.Note for Principal Agencies - Principal agents should not forward resumes to PeopleConnect, as we will not be responsible for any fees arising from the use of resume
