Data Scientist III – CRM & Lifecycle Marketing Analytics
Department: Consumer Group — CRM Lifecycle Marketing & Analytics
Location: Remote (United States) — West Coast time zone strongly preferred
Role Type: Contract — 12 months (W2, no C2C)

About Our Client
Our client is a large, well-established technology company in the financial software space, headquartered on the West Coast with teams distributed across the U.S. and internationally. They operate a connected suite of cloud-based products used by consumers and small businesses to manage their financial lives, with a customer base in the tens of millions and several category-leading brands in their portfolio. The organization runs at enterprise scale but has kept a strong culture around experimentation, customer obsession, and data-driven decision making — and is currently in the middle of a significant push to embed AI across both its products and its internal ways of working.

Job Description

This is a one-year contract engagement supporting the CRM Lifecycle Marketing & Analytics team inside the client''s Consumer Group, covering a Staff-level employee on leave. You will be the analytics partner to a fast-moving CRM marketing organization — the person marketing stakeholders come to when they need to know whether a campaign worked, why it worked, and what to do next. Day to day, you will be writing complex SQL against large relational datasets, designing and reading out A/B and multivariate tests, building automated dashboards, and turning campaign performance data into recommendations that non-technical marketers can actually act on.
The work spans the full customer lifecycle across owned channels — email, push, SMS, in-app messaging — and touches segmentation, personalization, journey analytics, retention, and LTV. You will collaborate cross-functionally with Marketing, Data Engineering, Finance, and Analytics partners to define the metrics that matter, build the reporting frameworks that track them, and identify where automation and AI-enabled tooling can replace manual, repetitive analysis. Part of the mandate is helping the organization move toward AI-assisted, self-service analytics, so comfort with prompt engineering and validating AI-generated output is a real advantage.
The ideal candidate is a senior individual contributor who can operate independently in an ambiguous, fast-paced environment without heavy onboarding. You are equally at home in a query editor and in a room full of marketers, you are genuinely curious about customer
behavior, and you have a bias toward finding the insight that changes a decision rather than producing another report nobody reads.

Duties and Responsibilities

Partner directly with CRM and Lifecycle Marketing stakeholders to define key business metrics and surface opportunities to improve marketing performance.
Analyze CRM campaign performance across email, push notifications, SMS, in-app messaging, and other owned channels.
Design, execute, and measure A/B and multivariate tests evaluating messaging, timing, targeting, and creative effectiveness.
Perform business analysis using statistical methods, explanatory and predictive modeling, and data mining techniques.
Build and maintain automated dashboards and reporting solutions for marketing stakeholders.
Produce ad hoc analyses and readouts that support day-to-day marketing decision-making.
Measure and optimize lifecycle campaigns through segmentation, personalization, and customer journey analytics.
Translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences.
Identify repetitive reporting and insight-generation processes and automate them using AI-enabled tools and workflow automation.
Validate AI-generated outputs for accuracy and alignment with business requirements.
Ensure data quality, governance, and consistency across reporting frameworks and analytics solutions.
Connect CRM initiatives to downstream business outcomes including revenue, retention, loyalty, and engagement.
Provide guidance and technical support to less experienced business data analysts as needed.

Required Experience/Skills

7–10 years of experience in data science, marketing analytics, or business analytics.
Advanced SQL — writing complex queries to extract, join, and transform large relational datasets. This is the primary technical screen.
Hands-on CRM and lifecycle marketing analytics experience, including customer journeys, retention strategy, and lifecycle optimization.
Demonstrated experience measuring CRM performance metrics: open rate, CTR, CTOR, conversion rate, unsubscribe rate, churn, retention, LTV, and engagement.
Strong working knowledge of statistical analysis, regression, forecasting, A/B testing, and experimental design.
Experience with audience segmentation, personalization strategy, and dynamic content optimization.
Working knowledge of customer journey analytics, funnel analysis, and cohort analysis.
Experience building dashboards and reports in a modern BI tool.
Strong data storytelling — the ability to explain complex analytical concepts to non-technical stakeholders.
Proven collaboration across Marketing, Finance, Data Engineering, and other cross-functional business teams.
Comfort operating independently in a fast-paced, ambiguous environment with minimal ramp-up.

Nice-to-Haves

Python (or R) for advanced statistical analysis and automation.
Braze or a comparable ESP / customer engagement platform (Iterable, Salesforce Marketing Cloud, Airship, CleverTap).
Qlik Sense specifically; Tableau or Looker also relevant.
Familiarity with ETL and data pipeline tooling — Superglue, Alteryx, Informatica, dbt, or Airflow.
Hands-on use of AI tools in an analytics workflow (Cursor, Claude, or similar) and prompt engineering for AI-assisted reporting.
Understanding of AI agent workflows and automation applied to business reporting processes.
Prior experience inside a large technology or consumer software company.
Knowledge of data governance, reporting standards, and KPI frameworks.

Education

Bachelor''s degree in Business Analytics, Marketing Analytics, Statistics, Computer Science, Economics, or another quantitative field is required.
Master''s degree in Data Analytics, Business Intelligence, Marketing Analytics, or a related discipline is preferred.
Equivalent professional experience in data analysis or marketing analytics may be considered in lieu of a formal degree.

Pay & Benefits Summary

Hourly rate: commensurate with experience (W2 contract).
12-month engagement with a well-known, publicly traded technology company.
Fully remote within the United States.

Call-to-Action
If you have spent your career turning CRM campaign data into decisions that marketers actually act on, this is a chance to do it at consumer-scale for one of the most recognizable names in fintech. Apply now — the client is targeting interviews the week of August 10th, so this one will move fast.

Data Scientist – CRM & Lifecycle Marketing

Quick Overview

Job Description

Skills

Similar jobs

Senior Principal Data Scientist (Marketing Channel Optimization)

Lead Data Scientist - MMM

OPERATIONS RESEARCH ANALYST (DATA SCIENTIST) with Security Clearance

Data Scientist-42851

Senior Supply Chain AI Analytics (Data) Engineer / Data Scientist AI Supply Chain Insights

Sr Data Scientist