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Senior Marketing Data Scientist (Credit Cards)

Wise Skulls Corp.

New York, New York • Yesterday

Easy Apply

Full-time

Depends on Experience

Wise Skulls Corp.

Job Details

Skills

Banking
Data Science
Credit Cards
Finance
Machine Learning (ML)
Marketing
Management
Forecasting
Process Flow
Python
Snow Flake Schema

Summary

Job Title: Senior Marketing Data Scientist (Credit Cards)
Location: NYC, Chicago, or San Francisco
Job Type: Full-time
Experience: 8+ years

Marketing Data Scientist

This new role will be working with senior data scientists to develop, optimize and implement the marketing strategies for client’s credit cards business.

Marketing Data Scientists will partner closely with marketing managers and leadership to design, analyze, and optimize marketing strategies that drive member growth and revenue. If you are interested in working with highly quantitative teammates and elevating how data and analytics drives marketing and business decisions, this role is for you.

Responsibilities

Drive the growth of business and member products by developing comprehensive marketing strategies, which includes data analysis, model creation, strategy development, and performance monitoring across all channels.
Collaborate with marketing managers, channel owners, business leads and external partners to identify and strategize on new opportunities and initiatives.
Analyze and measure the effectiveness of the marketing strategies, including funnel efficiency (click to convert), CPA (cost per acquisition) and ROI (return on investment), to provide data-driven recommendations and drive informed actions.
Design, analyze, and interpret experiments (A/B tests, quasi-experiments) to inform marketing and growth decisions.
Design and validate the complete campaign lifecycle, including process flow, data pipeline, model scoring, and execution, in collaboration with the campaign execution team to ensure timely and accurate campaign selections.
Define key performance indicators (KPIs), design reporting framework and develop self-service dashboards that provide clear visibility into product and business performance.
Manage the end-to-end Direct Mail (DM) campaigns, including pre-screened (PS) and invitation-to-apply (ITA) across products. This encompasses identifying the underwriting, marketing and suppression rules, clearly defining the data source and logic, executing the code, validating the result and file ingestion, managing the approval process and tracking the campaign performance.
Perform deep-dive analyses across funnels, user behavior, monetization, and retention to identify growth and efficiency opportunities.
Transform business objectives into data-driven, actionable tactics and campaigns that generate immediate results and establish a robust foundation for sustained growth.
Fulfill partner requests promptly by providing timely analysis, adeptly navigating ambiguity, and focusing on solution-oriented approaches.
Communicate insights clearly to senior leadership and partners, converting complex data into compelling narratives.

Qualifications

Bachelor’s degree in computer science, Math, Physics, Engineering, or a quantitative field required; Master’s degree preferred.
8+ years of experience in data science/analytics role (Manager preferred over Analyst)
Strong communication skills and comfort working directly with Product and Business leaders
Direct mail experience. Ability to manage the campaign planning, forecasting, selection and execution process for the DM campaign followed by robust monitoring
Strong programming skills in SQL, Python/R and proficiency in Tableau
Experience in growth, lifecycle, or funnel optimization problems
Experience building data pipelines with Airflow, preferably in Snowflake.
Demonstrated experience with experimentation design, hypothesis testing, and statistical analysis
Knowledge of statistical modeling or machine learning is a plus.
Ability to operate effectively in ambiguous, fast-moving product environments
Ability to thrive in a dynamic, cross-functional environment with keen attention to detail.
Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion
Demonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership
Strong preference for industry experience in financial service and familiarity with banking products and marketing channels.
Experience with the consumer bureau data (Experian/TU)
In depth knowledge of CC business strategies leading to profitability with expertise in managing/executing prescreen campaigns

Interview Process

3 rounds: the first with the hiring manager, followed by 2 client rounds
Every round includes a technical assessment covering SQL coding, a detailed walkthrough of your past projects, and an evaluation of your communication skills
Be ready to explain your past projects in depth, including your approach, your role and the results

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91097138
Position Id: 9132895
Posted 1 day ago

Company Info

About Wise Skulls Corp.

Since 2019, Wise Skulls has been redefining the landscape of contractual staffing by connecting exceptional talent with industry-leading opportunities. Specializing in the IT sector and expanding into diverse industries, we help build impactful careers and high-performing teams.

Our mission is clear: to align the right people with the right roles while fostering long-term success for individuals and organizations alike. By leveraging cutting-edge technology, industry expertise, and a deep understanding of both on-site and remote work dynamics, we provide staffing solutions that go beyond filling positions and create pathways to growth and innovation.

At Wise Skulls, we aspire to set new benchmarks for efficiency and excellence in staffing. Our vision is to become the go-to platform for contractual hiring, empowering professionals to achieve their career aspirations and enabling businesses to thrive with dynamic teams.

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Fitment

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Contact the job poster

Arif Gaha

Recruiter @ Wise Skulls Corp.

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San Francisco, California

•

Today

Job Title: Senior Marketing Data Scientist (Credit Cards) Location: NYC, Chicago, or San Francisco Job Type: Full-time Experience: 8+ years Marketing Data Scientist This new role will be working with senior data scientists to develop, optimize and implement the marketing strategies for clients credit cards business. Marketing Data Scientists will partner closely with marketing managers and leadership to design, analyze, and optimize marketing strategies that drive member growth and revenue. If y

Easy Apply

Full-time

Depends on Experience

Senior Marketing Data Scientist (Banking / Small Business Lending)

San Francisco, California

•

7d ago

Job Title: Senior Marketing Data Scientist (Banking / Small Business Lending) Location: San Francisco, CA Job Type: Full-time Data Scientist- Marketing Analytics What youll do: Drive the growth of business and member products by developing comprehensive marketing strategies, which includes data analysis, model creation, strategy development, and performance monitoring across all channels.Collaborate with marketing managers, channel owners, and external partners to identify and strategize on new

Easy Apply

Full-time

Depends on Experience

Solution Architect, Data Platform (Databricks)

Hybrid in San Francisco, California

•

Today

About the Role: We are building our modern data platform on Databricks and need a Solution Architect to own the end-to-end design. You will turn business needs from Risk, Fraud, Finance, Marketing, Collections and Product into scalable, secure data architectures that integrate cleanly with existing systems. You will own architectural decisions across teams and work closely with the Principal Engineer, who turns the architecture into detailed designs and working pipelines. Key Responsibilities:

Easy Apply

Contract

Depends on Experience

Wise Skulls Corp.

Job Details

Skills

Banking
Data Science
Credit Cards
Finance
Machine Learning (ML)
Marketing
Management
Forecasting
Process Flow
Python
Snow Flake Schema

Summary

Job Title: Senior Marketing Data Scientist (Credit Cards)
Location: NYC, Chicago, or San Francisco
Job Type: Full-time
Experience: 8+ years

Marketing Data Scientist

This new role will be working with senior data scientists to develop, optimize and implement the marketing strategies for client’s credit cards business.

Responsibilities

Drive the growth of business and member products by developing comprehensive marketing strategies, which includes data analysis, model creation, strategy development, and performance monitoring across all channels.
Collaborate with marketing managers, channel owners, business leads and external partners to identify and strategize on new opportunities and initiatives.
Analyze and measure the effectiveness of the marketing strategies, including funnel efficiency (click to convert), CPA (cost per acquisition) and ROI (return on investment), to provide data-driven recommendations and drive informed actions.
Design, analyze, and interpret experiments (A/B tests, quasi-experiments) to inform marketing and growth decisions.
Design and validate the complete campaign lifecycle, including process flow, data pipeline, model scoring, and execution, in collaboration with the campaign execution team to ensure timely and accurate campaign selections.
Define key performance indicators (KPIs), design reporting framework and develop self-service dashboards that provide clear visibility into product and business performance.
Manage the end-to-end Direct Mail (DM) campaigns, including pre-screened (PS) and invitation-to-apply (ITA) across products. This encompasses identifying the underwriting, marketing and suppression rules, clearly defining the data source and logic, executing the code, validating the result and file ingestion, managing the approval process and tracking the campaign performance.
Perform deep-dive analyses across funnels, user behavior, monetization, and retention to identify growth and efficiency opportunities.
Transform business objectives into data-driven, actionable tactics and campaigns that generate immediate results and establish a robust foundation for sustained growth.
Fulfill partner requests promptly by providing timely analysis, adeptly navigating ambiguity, and focusing on solution-oriented approaches.
Communicate insights clearly to senior leadership and partners, converting complex data into compelling narratives.

Qualifications

Bachelor’s degree in computer science, Math, Physics, Engineering, or a quantitative field required; Master’s degree preferred.
8+ years of experience in data science/analytics role (Manager preferred over Analyst)
Strong communication skills and comfort working directly with Product and Business leaders
Direct mail experience. Ability to manage the campaign planning, forecasting, selection and execution process for the DM campaign followed by robust monitoring
Strong programming skills in SQL, Python/R and proficiency in Tableau
Experience in growth, lifecycle, or funnel optimization problems
Experience building data pipelines with Airflow, preferably in Snowflake.
Demonstrated experience with experimentation design, hypothesis testing, and statistical analysis
Knowledge of statistical modeling or machine learning is a plus.
Ability to operate effectively in ambiguous, fast-moving product environments
Ability to thrive in a dynamic, cross-functional environment with keen attention to detail.
Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion
Demonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership
Strong preference for industry experience in financial service and familiarity with banking products and marketing channels.
Experience with the consumer bureau data (Experian/TU)
In depth knowledge of CC business strategies leading to profitability with expertise in managing/executing prescreen campaigns

Interview Process

3 rounds: the first with the hiring manager, followed by 2 client rounds
Every round includes a technical assessment covering SQL coding, a detailed walkthrough of your past projects, and an evaluation of your communication skills
Be ready to explain your past projects in depth, including your approach, your role and the results

Dice Id: 91097138
Position Id: 9132895
Posted 1 day ago

Company Info

About Wise Skulls Corp.

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Arif Gaha

Recruiter @ Wise Skulls Corp.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

San Francisco, California

•

Today

Easy Apply

Full-time

Depends on Experience

Senior Marketing Data Scientist (Banking / Small Business Lending)

San Francisco, California

•

7d ago

Easy Apply

Full-time

Depends on Experience

Solution Architect, Data Platform (Databricks)

Hybrid in San Francisco, California

•

Today

Easy Apply

Contract

Depends on Experience

Senior Marketing Data Scientist (Credit Cards)

Skills

Summary

Dice Job Match Score™

Arif Gaha

Similar Jobs

Senior Marketing Data Scientist (Credit Cards)

Wise Skulls Corp.

Job Details

Skills

Summary

Company Info

About Wise Skulls Corp.

Dice Job Match Score™

Arif Gaha

Similar Jobs