Talantix.io
Wealthfront•02.03.26
AI SCORE 8.5

Data Scientist - Lifecycle Marketing (Remote)

$164K–$184K/year
RemoteFinTech
Python•SQL•Statistics•Causal Inference•Machine Learning•Data Visualization

About the Role

We are seeking a talented Data Scientist - Lifecycle Marketing (Remote) to join Wealthfront’s innovative Data Science team. In this role, you will leverage our extensive financial and behavioral data to drive impactful decisions in Marketing, Product, and information security. The Lifecycle Marketing team focuses on maximizing lead conversion and enhancing client engagement through personalized campaigns delivered via emails, in-app merchandising, and push notifications. This position offers a unique opportunity to work on projects such as client segmentation, campaign design, and client value modeling.

What You'll Do

  • Analyze and suggest Lifecycle Marketing campaigns that prioritize client satisfaction and address pain points.
  • Employ rigorous mathematical analyses and sound software development principles to execute projects.
  • Collaborate with the Lifecycle Marketing team to define quarterly and yearly initiatives.
  • Transform initiatives into actionable projects with clear rationale, methodologies, and milestones.
  • Track project progress and priorities during weekly meetings, ensuring alignment with team objectives.
  • Communicate technical information, including assumptions and methodologies, to diverse stakeholders.
  • Translate insights into actionable recommendations, enhancing the overall marketing strategy.
  • Mentor junior Data Scientists, fostering a culture of learning and collaboration.

Requirements

  • Master's or PhD degree in Computer Science, Statistics, Operations Research, or Natural Sciences.
  • 4-8+ years of experience as a Data Scientist.
  • Proficiency in Python and SQL.
  • Strong foundation in practical Statistics, including causal inference.
  • Excellent mathematical and software engineering skills.
  • Fluency in both oral and written communication.
  • Ability to refine project requirements through effective collaboration.
  • Experience in a marketing-facing role is preferred but not mandatory.

Nice to Have

  • Experience with machine learning techniques.
  • Familiarity with data visualization tools.
  • Knowledge of marketing analytics.

What We Offer

  • Competitive salary range of $164,000 - $184,000 plus equity and a discretionary bonus.
  • Comprehensive benefits including medical, vision, dental, and a 401K plan.
  • Generous time off and parental leave.
  • Wellness reimbursements and professional development opportunities.
  • Employee investing discounts and more!
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Data Scientist role at Wealthfront offers a unique opportunity to drive marketing strategies remotely while enjoying a competitive salary and comprehensive benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and SQL, with hands-on experience in building machine learning models for marketing analytics and utilizing libraries such as Pandas and Scikit-learn to analyze client engagement data.

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Demonstrates a strong understanding of causal inference techniques and statistical analysis, enabling the candidate to derive actionable insights from A/B tests and marketing campaigns effectively.

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Possesses a strategic mindset and adaptability to thrive in a fully remote environment, showcasing self-motivation and the ability to manage projects independently while collaborating with cross-functional teams.

Learning Resources

→Python for Data Science Handbookguide
→SQL for Data Sciencecourse
→Causal Inference for the Brave and Truearticle

Career Path

Data Scientist - Lifecycle Marketing(Now)→Lead Data Scientist(2-4 years)→Director of Data Science(5-7 years)

Market Overview

Market Size 2024
$80B
Annual Growth
15.2%
AI Adoption
70%
Investment
+200%
Labour Demand
+25%
Avg Salary
$135K

Skills & Requirements

Required
PythonSQLStatistics
Growing in Demand
Deep LearningNatural Language ProcessingBig Data Technologies
Declining
R ProgrammingExcel for Data Analysis

Domain Trends

Increased Focus on Personalization
Companies are leveraging data science for personalized marketing strategies, with 80% of marketers reporting improved customer engagement through data-driven insights.
Rise of Automated Machine Learning (AutoML)
AutoML adoption is increasing, with 60% of organizations using or planning to use AutoML to streamline model development and deployment, allowing data scientists to focus on higher-level tasks.
Integration of Ethical AI Practices
76% of data professionals are prioritizing ethical AI practices, reflecting a growing demand for transparency and accountability in data-driven marketing decisions.

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