Data Scientist, Lifecycle Marketing Job at Wealthfront (Palo Alto)

Data Scientist

We are looking for a Data Scientist who can leverage statistical tools, deep lea...

Location

United States

Salary:

120000.00 - 135000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Statistics, Economics, or a related quantitative discipline preferred
M.S. + 2 years of experience, or B.S. + 4 years of relevant experience
Strong programming skills in R, Python, and SQL
Professional experience within the digital advertising or MarTech field
Demonstrated success delivering data-driven products, including involvement across the full product development lifecycle
Deep understanding of statistical modeling and machine learning techniques
Experience with A/B testing (preferably geo-holdouts) and Media Mix Models (MMMs)
Strong working knowledge of large datasets, preferably within the digital marketing domain
Experience with cloud OLAP database platforms such as BigQuery and Snowflake
Strong communication skills with both technical and non-technical audiences

Job Responsibility

Working closely with Product Development to identify high-impact business problems that can be solved through data science and machine learning methods
Designing, prototyping, and testing new products and data solutions
Developing scalable, efficient, and automated workflows capable of analyzing large volumes of data from various sources
Conducting incrementality tests and building Media Mix Models (MMMs)
Integrating scalable workflows into production environments by collaborating with software engineers
Maintaining data science and machine learning workflows by fixing bugs or improving model performance as needed
Articulating complex technical results and methodologies to internal stakeholders
Joining client meetings as needed to understand client data problems and propose innovative solutions
Proactively identifying issues, raising them to the team, and proposing and implementing effective solutions

What we offer

Remote-first culture
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

Data Scientist

Circle K is seeking a Data Scientist responsible for delivering advanced analyti...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

A higher degree in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar
Experience: 3-4 years for Data Scientist
Relevant working experience in a quantitative/ applied analytics role
Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python
Excellent communication skills in English, both verbal and written
Delivery Excellence
Business disposition
Social intelligence
Innovation and agility
Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)

Job Responsibility

Evaluate performance of categories and activities, using proven and advanced analytical methods
Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis
Oversee the design and measurement of experiments and pilots
Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact
Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
Improve data quality by using and improving tools to automatically detect issues
Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol
Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas
Work with Peers, Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of analytical applications, from development of mock-ups and storyboards to complete production ready application
Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business

Fulltime

Senior Software Engineer

We are seeking a highly skilled senior software engineer to join our team. This ...

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

Deep expertise in Java: Proven proficiency in designing, developing, and optimizing high-performance, multithreaded Java applications
Comprehensive SDLC Experience: Extensive experience with the entire software development lifecycle, including requirements gathering, architectural design, coding, testing (unit, integration, performance), deployment, and maintenance
Data Engineering & Financial Data Processing: Proven experience in data engineering, including building, maintaining, and optimizing complex data pipelines for real-time and historical financial stock market data
Financial Market Acumen: A strong background in the financial industry, with a working knowledge of financial instruments, market data (e.g., tick data, OHLC), and common financial models
Problem-Solving & Adaptability: Excellent problem-solving skills and the ability to work with complex and evolving requirements
Collaboration & Communication: Superior communication skills, capable of collaborating effectively with quantitative analysts, data scientists, and business stakeholders
Testing & CI/CD: A strong ability to work on development and all forms of testing, with working knowledge of CI/CD pipelines and deployments
Database Proficiency: Experience with various database technologies (SQL and NoSQL) and the ability to design database schemas for efficient storage and retrieval of financial data

Job Responsibility

Design and Development: Architect, build, and maintain robust, scalable, and low-latency Java applications for processing real-time and historical financial stock market data
Data Pipeline Engineering: Engineer and manage sophisticated data pipelines using modern data technologies to ensure timely and accurate data availability for analytics and trading systems
Performance Optimization: Profile and optimize applications for maximum speed, scalability, and efficiency
System Integration: Integrate data from various financial market sources and ensure seamless data flow into downstream systems
Mentorship and Best Practices: Provide guidance and mentorship to other engineers, contribute to code reviews, and advocate for best practices
Operational Excellence: Participate in the full software development lifecycle, from initial design to production support, ensuring system reliability and performance

Senior GenAI Data VP – Market Data

Embark on a transformative journey as a Senior GenAI Data VP – Market Data at Ba...

Location

United States , Whippany

Salary:

170000.00 - 230000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Experience with design and delivery of GenAI data architectures, including agentic workflows, RAG pipelines, prompt orchestration, and tool calling frameworks
Ability to manage strategy and integration of market data platforms (FactSet, LSEG, Bloomberg, S&P Capital IQ), ensuring high quality ingestion, normalization, enrichment, and access for analytics and GenAI use cases
Experience with designing and overseeing scalable GenAI and machine learning data pipelines, supporting structured and unstructured data across the full AI lifecycle
Ability to establish and embed data quality, lineage, privacy, and compliance controls to ensure responsible AI use and regulatory alignment
Stakeholder management skills to support business, product, engineering, and data science teams to identify high impact GenAI use cases and translate them into production grade solutions, defining best practices for evaluation metrics, MCP integration, and scalable data integration across GenAI systems

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

medical, dental and vision coverage
401(k)
life insurance
other paid leave for qualifying circumstances
incentive award
competitive holiday allowance
private medical care
pension contribution

Fulltime

Data Scientist - Marketing

We're looking for a Data Scientist focused on marketing analytics to power the i...

Location

United Kingdom

Salary:

Not provided

ElevenLabs

Expiration Date

Until further notice

Requirements

Expertise in marketing and revenue analytics
Strong foundation in SQL and Python
Familiarity with analytics tools across the data stack
Experience working with CRM data (Salesforce preferred)
Understanding of B2B sales funnels, pipeline metrics, and lead lifecycle stages
Strong analytical intuition with an ability to connect marketing activities to business outcomes
A deep understanding of key marketing metrics such as CAC, conversion rates, pipeline velocity, and attribution
Experience building dashboards and reports that drive decision-making across marketing and sales teams
Proven ability to communicate findings clearly to non-technical stakeholders
Not afraid to get your hands dirty to get the job done

Job Responsibility

Power the insights that drive our B2B growth engine
Work at the intersection of data and go-to-market strategy
Help us understand what makes B2B prospects convert
Analyze which channels and campaigns drive the highest-quality pipeline
Advise on how to prioritize our marketing investments
Partner closely with marketing, sales, and revenue operations
Build dashboards that track funnel health
Develop lead scoring models that surface the right opportunities
Conduct deep-dive analyses that uncover what's working and what's not
Shape how we acquire and convert our most valuable customers through attribution modeling, campaign performance analysis, and understanding the B2B buyer journey

What we offer

Innovative culture
Growth paths
Learning & development supported through an annual discretionary stipend
Social travel with an annual discretionary stipend to meet up with colleagues
Annual company offsite
Co-working monthly stipend if not located near a main hub

Fulltime

Data Scientist - Marketing

At bunq, we're not just building a banking app; we're reshaping how people aroun...

Location

Netherlands , Amsterdam

Salary:

Not provided

bunq

Expiration Date

Until further notice

Requirements

Master of Looker, with deep, hands-on expertise in advanced data modeling, intuitive dashboard design, and performance optimization
Full command of SQL and Python, with robust, hands-on experience developing predictive marketing models and applying machine learning techniques to guide strategy
Strong commercial and strategic acumen, with a talent for translating complex analytical outputs into clear business implications and actionable recommendations for senior stakeholders
Natural collaborator, skilled at working with diverse teams to identify high-impact opportunities and champion a data-first culture
Fluent in English, ensuring clear communication and effective partnership across our global team

Job Responsibility

Replace strategic uncertainty with analytical clarity
Own the full data lifecycle
Build and own our predictive marketing models and high-impact Looker dashboards
Drive end-to-end analytics pipelines using SQL and Python, from data cleaning and feature engineering to model development
Partner closely with product, marketing, and engineering teams, translating complex analytical outcomes into practical recommendations

What we offer

Great, international colleagues who share your mindset
Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly
Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling
We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office
We support growth with bunq Academy and €1500 annual learning budget
Massive discount with Urban Sports Club
Travel expenses are covered whether you come walking or by bike, bus or car
A MacBook
Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options
An optional pension plan with monthly contribution from bunq

Fulltime

Marketing Mix & Attribution Modeling Lead- Data Science Manager

The Marketing Mix & Attribution Modeling Lead will manage a team of data scienti...

Location

United States , Columbus, Ohio; Westwood, Massachusetts; Johnston, Rhode Island

Salary:

190000.00 - 220000.00 USD / Year

Citizens Bank

Expiration Date

April 30, 2026

Requirements

8+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent
5+ years of experience in continuous and discrete dependent variable regression-based modeling
5+ years of experience coding in SQL, Python and maintaining standalone Python-based applications
3+ years of hands-on experience programming marketing mix modeling or comparable solutions in Python
Proven ability to lead high-performing teams through influence, accountability coaching and talent development
Expertise translating statistical models into scenario planning and optimization tools leveraging GAMS, PyOpt or a comparable platform that solves non-linear, constrained optimization problems
Expertise on Time-Series Modeling, with demonstrated ability to quantify uncertainty and model complex hierarchical data using Bayesian methods
Bachelor’s Degree in statistics, computer science, engineering, mathematics or similar quantitative field required
Master’s Degree preferred

Job Responsibility

Build, maintain, and evolve market level marketing mix models to estimate the causal impacts of marketing activities on Citizens’ financial outcomes in the short and long term
Manage and lead the model development lifecycle for a suite of Marketing Mix Models, including data wrangling, exploratory data analysis, feature engineering and variable transformations, econometric model development, model validation, documentation, model governance management and monitoring
Decompose models and derive marketing “due-tos,” attributing financial outcomes to marketing impressions and spend. Derive marketing performance KPIs including Cost per Incremental Account (CPIAs) and Return on Marketing Investment (ROMIs)
Leverage non-linear constrained optimization to operationalize the suite of Marketing Mix Models and develop a scenario planning and optimization tool that can be used by the Marketing Analytics and Marketing teams to optimize marketing investments across products, channels, markets, and time
Automate the model development process to scale model building across all Citizens’ Consumer Lines of Businesses
Develop multi-touch attribution models using data driven statistical approaches beyond heuristic or rules-based models
Partner with Marketing Analytics SPOCs, Media Analytics & Insights colleagues, and Enterprise Marketing stakeholders to derive actionable insights and recommendations. Find opportunities to optimize the marketing mix and maximize NPV given a budget and/or minimize budget given a NPV goal
Become an expert across marketing channels, customer segments and key markets tracked by Citizens’ Enterprise Marketing team to contextualize business activities and priorities
Document and communicate technical/analytic results, insights, and recommendations to both technical and non-technical audiences
Collaborate with data scientists and analysts on our team to brainstorm solutions, understand data availability and tools, provide project updates, and share ideas

What we offer

competitive pay
comprehensive medical, dental and vision coverage
retirement benefits
maternity/paternity leave
flexible work arrangements
education reimbursement
wellness programs
paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States
opportunity to earn an annual discretionary bonus

Fulltime

Vice President, Americas Marketing

This Vice President of Americas Marketing is a key leadership role that will acc...

Location

United States

Salary:

Not provided

Creandum

Expiration Date

Until further notice

Requirements

15+ years in B2B/SaaS marketing leadership, preferably in AI, database, analytics, cloud, or enterprise software
Deep expertise in leading large, multi-disciplinary teams (Demand Gen, ABM, Digital, Partner, Lifecycle), pipeline creation, revenue marketing, and data-driven decision-making
Knowledge of AI-powered marketing technologies, predictive analytics, and scalable marketing automation
Comfort engaging technical audiences (developers, data scientists, architects)
Proven ability to operate with executive presence and rigor in high-growth environments

Job Responsibility

Strategy & Leadership: Lead the Americas marketing organization with a data-driven strategy aligned with corporate goals. Co-own pipeline and growth outcomes with Sales and executive leadership. Translate complex AI/data concepts into compelling regional marketing campaigns
Pipeline Growth: Drive high-quality pipeline across enterprise, strategic, and corp/mid-market segments. Oversee regional funnel performance (from awareness to advocacy) and lead performance reporting, forecasting, and optimization
Targeted Programs: Lead multi-threaded Account-Based Marketing (ABM) programs using AI for personalization. Align with Product teams for successful regional launches. Scale co-marketing programs with key partners (e.g., hyperscalers) to drive partner-influenced revenue
Events: Own regional events and collaborate across teams for global events, both 1P Neo4j owned events and 3P industry events. Determine the event strategy and ensure execution is market leading
Innovation: Lead digital experimentation and champion the use of AI and marketing technology to improve productivity, content speed, and campaign impact
Team Leadership: Build, mentor, and retain a world-class Americas marketing team, empowering them with the best tools and fostering cross-functional alignment

Data Scientist, Lifecycle Marketing

Wealthfront

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 07, 2026

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