Search Jobs | Dice.com

1 results (1 new)

Group by company

Senior Marketing Data Scientist (Credit Cards) - Fulltime role

Wise Skulls Corp.

Remote or San Francisco, California • Today

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

Banking
Data Analysis
Credit Cards
Dialog Manager
Dimensional Modeling
Extract, Transform, Load
Marketing
Performance Monitoring
Return On Investment
Strategy Development
Monetization
Snow Flake Schema

Summary

Job Title: Senior Marketing Data Scientist (Credit Cards)
Location: San Francisco, CA
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: 9122707
Posted 5 hours ago

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

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 opportunities and initiatives.Analyze and measure the effectiveness of the marketing strategies, including funnel efficiency (

Easy Apply

Full-time

Depends on Experience

Senior Analytics Engineer

San Francisco, California

•

5d ago

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their

Full-time

(USA) Staff, Data Scientist

San Bruno, California

•

Today

Position Summary Role summary: Walmart is seeking a Staff Data Scientist to lead advanced measurement and analytics solutions that address complex marketing and business challenges at scale. This role will focus on Media Mix Modeling (), experimentation, causal inference, and broader marketing analytics to measure marketing effectiveness and inform strategic investment decisions. The ideal candidate combines deep statistical and technical expertise with strong business acumen-someone who can dev

Full-time

USD 143,000.00 - 286,000.00 per year

Senior Data Scientist - Growth

San Francisco, California

•

11d ago

In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the "Analytics Engine". In the words of computing historian Doron Swade, "What Lovelace sawwas that numbers could represent entities other than quantity" and together they laid the foundation for general-purpose computing. While much has changed since then, the importance of numbers in building great technology remains. We're looking for Data Scientists who can help us build our analytics engine b

Full-time

USD 200,700.00 - 250,900.00 per year

Job Details

Skills

Banking
Data Analysis
Credit Cards
Dialog Manager
Dimensional Modeling
Extract, Transform, Load
Marketing
Performance Monitoring
Return On Investment
Strategy Development
Monetization
Snow Flake Schema

Summary

Job Title: Senior Marketing Data Scientist (Credit Cards)
Location: San Francisco, CA
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: 9122707
Posted 5 hours ago

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 Analytics Engineer

San Francisco, California

•

5d ago

Full-time

(USA) Staff, Data Scientist

San Bruno, California

•

Today

Full-time

USD 143,000.00 - 286,000.00 per year

Senior Data Scientist - Growth

San Francisco, California

•

11d ago

Full-time

USD 200,700.00 - 250,900.00 per year

Senior Marketing Data Scientist (Credit Cards) - Fulltime role

Skills

Summary

Dice Job Match Score™

Arif Gaha

Similar Jobs

Senior Marketing Data Scientist (Credit Cards) - Fulltime role

Job Details

Skills

Summary

Dice Job Match Score™

Arif Gaha

Similar Jobs