Principal Data Scientist

Posted 11 Days Ago
Be an Early Applicant
Menlo Park, CA
Hybrid
195K-240K Annually
7+ Years Experience
AdTech • Fintech • Marketing Tech
Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform.
The Role
Looking for an accomplished Principal Data Scientist with expertise in data-centric AI and machine learning to lead transformative projects. Responsibilities include research and development in AI and ML, data transformation, audience targeting optimization, insights development, and team mentorship. PhD and 10 years of industry experience required.
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 a leading provider of data-driven advertising solutions, leveraging cutting-edge technology to drive superior marketing performance. Our innovative platform integrates transaction data to optimize audience targeting and enhance advertising strategies. As we continue to evolve and expand our technological capabilities, we are seeking a Principal Data Scientist to join our team and drive advancements in our data-centric AI and machine learning initiatives.

Position Overview:

We are looking for an accomplished Principal Data Scientist 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, actionable insights. This role involves optimizing audience and moment targeting, developing critical measurements and insights for various stakeholders, and contributing to the overall advancement of our data-driven advertising solutions.

Key Responsibilities:

  • Lead research and development efforts in applying AI and machine learning to enhance Cardlytics' technologies.

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

  • Optimize audience and moment targeting to drive superior advertising outcomes.

  • Develop and implement critical measurements and insights for publishers, advertisers, and other stakeholders.

  • 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 guide junior team members, fostering a culture of innovation and excellence.

Qualifications:

  • 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:

$195,000-$240,000

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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