Senior Data Scientist, Growth Marketing

Metropolis; Illinois; Presencial; USD 170.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

401(k) plan

Short-term and long-term disability

Basic life insurance

Stock option plan

Bonus plans

Descripción de la vacante

Metropolis is seeking a Senior Data Scientist, Growth Marketing to translate massive transactional and behavioral data into engines for user acquisition, retention, and gross profit expansion. You will lead growth measurement, causal inference, and experiments, partnering with Growth, Product, and Finance to drive business outcomes.

You will build scalable analytics pipelines, utilize AI tools, and translate complex data into actionable business strategies while collaborating with executives.

Formación

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field
• 6+ years of proven experience as a Data Scientist or Analytics Lead with growth focus
• Advanced proficiency in Python and SQL for complex data manipulation and predictive analytics

Responsabilidades

• Design, deploy, and refine predictive models for multi-touch attribution, CLV, and CAC efficiency for budget allocation
• Conduct cohort analyses and retention modeling to drive user conversion and churn insights
• Lead growth experimentation roadmap with A/B tests, geo-tests, holdouts, and incrementality studies
• Collaborate with Growth Marketing and Finance to optimize unit economics and channel growth goals
• Partner with analytics and data engineering to establish event tracking and scalable data pipelines
• Develop automated dashboards for executives and stakeholders using modern analytics frameworks

Conocimientos

Python

SQL

Growth marketing

A/B testing

Causal inference

Executive collaboration

AI tools

Communication

Educación

Bachelor’s or Master’s in CS/Math/Stats/Econ

Herramientas

scikit-learn

TensorFlow

PyTorch

AWS SageMaker

Airflow

Snowflake

dbt

Looker

Tableau

Descripción del empleo

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Data Scientist, Growth Marketing to join our growing data team. In this role, you will serve as the primary quantitative partner to our Growth Marketing leadership, turning massive real-world transactional and behavioral datasets into engines for user acquisition, retention, and gross profit expansion. You bring a deep background in marketing measurement and causal inference, with proven experience building multi-touch attribution systems, modeling customer lifetime value (LTV), and designing rigorous marketing experiments. You excel not only at building complex predictive models, but also at translating high-level data insights into clear business strategies for cross-functional stakeholders across Growth, Product, and Finance.

What you'll do

• Design, deploy, and refine predictive models for Multi-Touch Attribution (MTA), Customer Lifetime Value (CLV), and Customer Acquisition Cost (CAC) efficiency to guide multi-channel marketing budget allocation
• Conduct deep-dive cohort analyses and retention modeling to uncover drivers of user conversion, repeat behavior, and churn across our location-based growth funnel
• Lead the growth experimentation roadmap by designing, executing, and analyzing A/B tests, geo-experiments, holdout tests, and incrementality studies across digital and physical acquisition channels
• Partner directly with Growth Marketing and Finance leaders to optimize unit economics, justify marketing spend against gross profit targets, and set channel-level growth goals
• Collaborate with analytics and data engineering teams to establish event tracking requirements, build scalable growth data pipelines, and develop automated executive dashboards
• Utilize advanced AI tools and modern analytics frameworks to transform static analytical workflows into responsive, high-output processes

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field
• 6+ years of proven experience as a Data Scientist or Analytics Lead, with a distinct focus on growth marketing, performance media, or adtech
• Advanced proficiency in Python and SQL for complex data manipulation, statistical modeling, and predictive analytics
• Deep domain expertise in growth measurement frameworks, multi-touch attribution, cohort retention modeling, and LTV/CAC dynamics
• Hands-on experience with statistical experimentation and causal inference techniques such as A/B testing, geo-testing, synthetic controls, and media mix modeling
• Strong business acumen with a track record of partnering with senior executives in Growth, Product, and Finance to drive measurable bottom-line growth
• Excellent analytical, problem-solving, and communication skills to make complex data stories intuitive and actionable
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Experience with cloud platforms, including AWS S3, SageMaker, and Airflow
• Experience with cloud data warehouses and modern data tools such as Snowflake, dbt, Looker, and Tableau
• Familiarity with Media Mix Modeling (MMM) frameworks including Robyn and LightweightMMM
• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch applied to user segmentation or churn prediction
• Ability to write clean, efficient, robust, and well-commented code to produce high-quality data science procedures

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000 USD to $200,000 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment.

Base pay is one component of Metropolis’s total compensation package, which usually includes:

• healthcare benefits
• a 401(k) plan
• short-term and long-term disability coverage
• basic life insurance
• a lucrative stock option plan
• bonus plans
• and more

#LI-RR1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law. We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at [e-mail] .

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Metropolis’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

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An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.