Director of Data Science, Commerce AI

Posted 2 Days Ago
Be an Early Applicant
Menlo Park, CA
Hybrid
275K-290K Annually
Senior level
AdTech • Fintech • Marketing Tech
Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform.
The Role
The Director of Data Science will lead Cardlytics' initiatives in AI and machine learning, converting unstructured transaction data into structured knowledge. This role includes building a high-performance data science team, collaborating cross-functionally, and developing innovative Commerce AI technologies to enhance marketing outcomes.
Summary Generated by Built In

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 Us:

Cardlytics, Inc. is at the forefront of data-driven advertising, utilizing advanced technology to deliver exceptional marketing results. Our innovative Commerce AI platform combines merchant, consumer, and credit card transaction data with optimized audience targeting to enhance user engagement and purchasing experiences. As we continue to expand and enhance our technological offerings, the role of Director of Data Science is crucial to our growth. This position will lead the development of a high-impact data science team, driving innovation and advancements in our Commerce AI initiatives. By doing so, the Director will play a key role in accelerating the company's growth and unlocking new business opportunities.

Position Overview:

We are looking for an accomplished Director of Data Science with deep expertise in data-centric AI and machine learning to spearhead transformative projects at Cardlytics. The successful candidate will play a crucial role in refining our technologies by converting unstructured and noisy transaction data into structured knowledge. This role involves creating the AI vision and strategy of the company, building a data science team and performing data science executions as a critical role in growing Cardlytics into a top brand in FinTech.

Key Responsibilities:

  • Work with executives for Cardlytics AI vision and strategy.

  • Build and execute a high performance Data Science team.

  • Lead research and development efforts in applying AI and Machine Learning to enhance Cardlytics' technologies.

  • Build up creative Commerce AI Technologies to outstand the leadership of Cardlytics in the market. 

  • Transform unstructured and noisy transaction data into structured data for better analytics and performance.

  • Collaborate with cross-functional teams to integrate advanced data-centric solutions into our platform.

  • Stay abreast of emerging trends and technologies in AI and Machine Learning, and apply relevant innovations to Cardlytics' projects.

  • Mentor and coach junior managers, fostering a culture of innovation and excellence.

Qualifications:

  • A minimum of 5 years of executive/senior level Data Science management experience.

  • Ph.D. in Computer Science, Machine Learning, AI, Statistics, Applied Mathematics, or a related field.

  • A minimum of 10 years of industry experience in Machine Learning and AI applications.

  • Proficiency in at least two programming languages such as Python, Spark Scala, Java, C++, or R.

  • Extensive experience (5+ years) with Big Data tools including BigQuery, Hive, Athena, Spark, and SparkSQL.

  • Significant experience (5+ years) with Machine Learning libraries and frameworks such as Scikit-learn, SparkML, PyTorch, TensorFlow, XGBoost, and LibFFM.

  • At least 1 year of experience with MLOps systems such as SageMaker or Databricks MLOps.

  • Strong analytical skills with a proven ability to derive actionable insights from complex data sets.

  • Excellent problem-solving abilities and a track record of successful project execution.

  • Exceptional communication skills, with the ability to articulate complex concepts to both technical and non-technical audiences.

Preferred Qualifications:

  • Experience in the advertising technology industry or related fields.

  • Demonstrated ability to lead and manage high-impact projects.

  • Familiarity with additional Machine Learning tools and platforms.

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:

Range $275,000 - $290,000

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.       

Top Skills

C++
Java
Python
R
Spark Scala
The Company
HQ: Atlanta, GA
450 Employees
Hybrid Workplace
Year Founded: 2008

What We Do

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

Cardlytics is headquartered in Atlanta and has offices in New York City, Los Angeles, Menlo Park, Champaign, and London.

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