Senior Applied Scientist, Marketplace

About Cardlytics
Remember that time you got cash back on a cup of coffee through your banking app? That was us!

Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform. We are a product-driven company that cares about three things: our people, our customers, and our partners. Together, we make commerce more rewarding for everyone by helping businesses attract, understand, and incentivize consumers through their banks’ digital channels.

About Cardlytics
Remember that time you got cash back on a cup of coffee through your banking app? That was us!

Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform. We are a product-driven company that cares about three things: our people, our customers, and our partners. Together, we make commerce more rewarding for everyone by helping businesses attract, understand, and incentivize consumers through their banks’ digital channels.

About the Team

The Ads Marketplace team at Cardlytics comprises a dynamic group of scientists and engineers dedicated to rethinking and redefining ad delivery and optimization at scale. Our work directly impacts millions of customers daily, driving innovation and effectiveness in how advertising reaches its audience.

About the Position

As a Senior Applied Scientist in the Ads Marketplace team, you will develop and implement sophisticated machine learning models that address key challenges in digital advertising. You will work closely with team members to improve offer ranking, personalize user experiences, and predict user behaviors, contributing to our platform's overall effectiveness.

Responsibilities

- Design and implement machine learning models for ranking, personalization, click and conversion prediction

- Analyze datasets to extract actionable insights that improve model performance

- Work with engineering teams to deploy models to production and ensure scalability

- Execute A/B tests to validate model effectiveness and measure business impact

- Monitor and optimize model performance based on key metrics

- Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions

- Contribute to the team's technical discussions and mentor junior team members

Minimum Qualifications

- Master's degree in Computer Science, Data Science, Statistics, or related field

- 5+ years of experience developing machine learning models for digital advertising

- Strong proficiency in Python and experience with ML frameworks like TensorFlow or PyTorch

- Demonstrated experience in statistical analysis and experimental design

- Excellent problem-solving skills and ability to work in a fast-paced environment

- Strong communication skills with ability to explain technical concepts clearly

Preferred Qualifications

- Experience with Learning to Rank (LTR) models

- Knowledge of real-time systems and large-scale data processing (Spark, Hadoop, Kafka)

- Track record of successful model deployments in production environments

Core Values

Our shared values are the driving force behind everything we do. Across all roles, we are looking for teammates who embody these values:

• Customer and Partner-first

• Act with Urgency and Focus

• Integrity with our partners and data

• Accountability even when challenged

• Empowerment over hierarchy

• Growth over comfort

Benefits and Perks

• Flexible paid time off plus company holidays

• Medical, dental, and vision insurance begins on your first day

• 401(k) retirement plan with company match, plan also includes a student loan debt repayment option

• Employee Stock Purchase Plan

• Educational assistance for continuing education

• Lifestyle Spending Account for physical, emotional, and financial wellness (like gym memberships, home down payments, art classes, park passes, and more!)

• Complementary Calm app subscriptions to support employee mental health and wellbeing

As an equal opportunity employer, Cardlytics is committed to diversity, equity, and inclusion. Our people bring our products and organization to life, and every unique perspective makes us better. If you can do the job and you’re excited about growing with us as we scale our best-in-class advertising platform, we’d love to hear from you. If you need accommodation in the recruiting process due to a disability, please email [email protected] or inform your recruiter.

Core Values

Our shared values are the driving force behind everything we do. Across all roles, we are looking for teammates who embody these values:

• Customer and Partner-first

• Act with Urgency and Focus

• Integrity with our partners and data

• Accountability even when challenged

• Empowerment over hierarchy

• Growth over comfort 

Compensation

At Cardlytics salary ranges are determined based on factors such as role, level, and location. Individual compensation may be determined by relevant skills, experience, education, training, and other role-specific criteria. This salary range will be narrowed during the interview process based on a number of the aforementioned factors.The base salary range provided below does not include bonuses and additional benefits.

The annual US base salary range for this role is:

Comp Range: $240,000-$280,000

Benefits and Perks      

• Flexible paid time off plus company holidays

• Medical, dental, and vision insurance begins on your first day

• 401(k) retirement plan with company match, plan also includes a student loan debt repayment option

• Employee Stock Purchase Plan

• Educational assistance for continuing education

• Lifestyle Spending Account for physical, emotional, and financial wellness (like gym memberships, home down payments, art classes, park passes, and more!)

• Complementary Calm app subscriptions to support employee mental health and wellbeing

As an equal opportunity employer, Cardlytics is committed to diversity, equity, and inclusion. Our people bring our products and organization to life, and every unique perspective makes us better. If you can do the job and you’re excited about growing with us as we scale our best-in-class advertising platform, we’d love to hear from you. If you need accommodation in the recruiting process due to a disability, please email [email protected] or inform your recruiter.