Data Scientist: Marketing, CX & Growth Analytics

Analytic Recruiting Inc.; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Analytic Recruiting Inc. is seeking a Data Scientist to support marketing, customer experience, and growth analytics initiatives for a leading financial services organization.

You will build predictive models, dashboards, and pipelines to optimize customer journeys and drive data-driven decisions. The role requires hands-on Python (pandas, numpy, scikit-learn), Power BI, and SQL experience, with strong communication to senior leadership.

Qualifications

• Minimum 3 years of experience in data analytics within financial services.
• Experience in Customer Analytics, CX Analytics, Call Center Analytics, or Growth Analytics.
• Demonstrated experience building predictive models and ML solutions using Python (pandas, numpy, scikit-learn).
• Proficiency with data modeling, data engineering, and analytics tools including Power BI, SQL, and Python.

Responsibilities

• Translate business requirements into analyses, reports, and dashboards for marketing, CX, and growth initiatives.
• Build, validate, and deploy predictive models and ML pipelines to improve customer metrics and operations.
• Analyze customer journeys and call center performance to identify friction points and improvement actions.
• Develop driver analytics to uncover root causes of customer behavior and outcomes.
• Present findings to non-technical stakeholders and senior leadership.

Skills

Data analytics

Python

Pandas

NumPy

Scikit-learn

Power BI

SQL

Customer analytics

CX analytics

Growth analytics

Tools

Power BI

SQL

Tableau

Job description

Analytic Recruiting Inc. is seeking a Data Scientist to support marketing, customer experience, and growth analytics initiatives for a leading financial services organization.

You will build predictive models, dashboards, and pipelines to optimize customer journeys and drive data-driven decisions. The role requires hands-on Python (pandas, numpy, scikit-learn), Power BI, and SQL experience, with strong communication to senior leadership.