Senior Data Scientist

PeopleConnect•San Diego, CA

5h•$120,700 - $177,200•Hybrid

About The Position

PeopleConnect is seeking a Senior Data Scientist to leverage advanced analytics and machine learning to drive marketing performance, customer insights, and revenue growth across our subscription-based platforms. This role partners closely with marketing, product, analytics, and executive leadership to uncover actionable insights, build predictive models, and influence business decisions through data-driven strategy. You will operate with meaningful autonomy and will be expected to translate complex analysis into clear, decision-ready recommendations. This is an office-based role with a hybrid schedule, including one flexible work-from-home day per week, based in our San Diego office. This is a senior individual contributor role for a data scientist who thrives in a performance-driven, marketing-focused B2C environment and is comfortable owning analytical initiatives from hypothesis through implementation.

Requirements

5+ years of experience in data science, marketing analytics, or a related quantitative role, preferably in a B2C subscription or performance-driven environment.
Proven experience building and deploying predictive models, including logistic regression, tree-based models, and gradient boosting techniques.
Strong proficiency in Python or R for data analysis and modeling.
Advanced SQL skills for querying and manipulating large datasets.
Experience designing and interpreting experiments, including A/B testing and causal analysis.
Strong understanding of statistical methods, machine learning algorithms, and model validation techniques.
Experience translating analytical findings into strategic recommendations for business stakeholders.
Ability to operate independently in a fast-paced, cross-functional environment.
Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

Nice To Haves

Experience working with cloud platforms such as AWS, Google Cloud, or Azure.
Experience with customer segmentation, lifetime value modeling, or attribution modeling.
Familiarity with marketing analytics platforms and CRM systems.
Advanced degree in a quantitative discipline.

Responsibilities

Develop, implement, and maintain predictive and propensity models to forecast customer behavior, including purchase likelihood, churn risk, and campaign responsiveness.
Apply statistical and machine learning techniques to large-scale datasets to drive measurable business outcomes.
Design, validate, and monitor models to ensure ongoing performance, reliability, and business relevance.
Translate model outputs into actionable business strategies that improve conversion, retention, and lifetime value.
Partner with marketing and product teams to optimize campaign performance through data-driven insights.
Design and execute A/B tests and other controlled experiments to measure incremental impact and improve marketing effectiveness.
Identify opportunities to improve targeting, segmentation, and personalization strategies.
Balance speed, cost, and analytical rigor to support timely business decisions.
Ensure data integrity, quality, and compliance with applicable privacy regulations (including GDPR and CCPA).
Build dashboards, reports, and visualizations that clearly communicate findings to technical and non-technical stakeholders.
Challenge assumptions, surface risks, and provide independent analytical perspective to senior leadership.
Maintain strong documentation and governance practices across models and analyses.