Sr. Data Scientist – Identity Graph – Email Marketing Startup

Sr. Data Scientist – Identity Graph – Email Marketing Startup

Location: Remote

The company's enterprise SaaS product for marketers involves identity resolution, consumer data enrichment, email deliverability, retargeting and advertising, compliance with digital privacy regulations, AI-powered identity graph, and big data.

The company has raised $8 million in seed funding, and is expecting to close series A funding soon. Revenues are rapidly growing (tripled in the last year). It is used by over 200 brands.

The company has 20 employees and 5 engineers. It is rapidly hiring.

The company will pay a salary up to $200k, plus equity which could be lucrative.

Job Responsibilities:

- Playing a key role in refining the identity graph, optimizing data enrichment, and driving real-time decision-making.

- Developing and refining graph-based AI models to improve identity resolution, utilizing Neo4j and Cypher queries.

- Designing and implementing community detection algorithms to cluster identities.

- Optimizing data enrichment pipelines using Kafka, REST APIs, and ETL workflows to integrate first-party, third-party, and real-time data streams.

- Architecting and optimizing real-time data pipelines using Kafka and Google Cloud Platform (BigQuery, GCS, Pub/Sub).

- Developing bot detection and fraud prevention models using IP tracking, fingerprinting, and behavioral data analysis.

- Enhancing the product's cookieless tracking framework to ensure accurate audience insights and engagement measurement.

- Building predictive models to improve email deliverability, leveraging clickstream data, consumer attribute analysis, and subdomain warm-up strategies.

- Collaborating with engineers to implement Google Tag Manager and JavaScript-based tracking solutions for client-side data collection.

- Optimizing dynamic audience creation for retargeting and personalized landing pages based on user traits and intent signals.

Qualifications:

- Strong statistical expertise, experience in applying AI/ML to graph databases, and a deep understanding of the email and adtech business landscape.

- At least 4 years of professional experience as a Data Scientist.

- Deep experience designing and implementing community detection algorithms.

- Expertise with Neo4j, Cypher queries, and applying AI/ML models to graph data.

- Proficiency in Big Data & Streaming technologies including Kafka, BigQuery/GCP, ETL pipelines, and real-time data ingestion.

- AI & Machine Learning: Familiarity with community detection, clustering, and consumer segmentation techniques.

- Proficient with Python, Pandas, Scikit-learn, TensorFlow/PyTorch, SQL, and JavaScript.

- AdTech & Email Analytics: Understanding of ad network integrations, email reputation management, and consumer segmentation strategies.

- Deep understanding of digital marketing, email deliverability, and adtech business principles.

- Ability to translate data insights into actionable marketing strategies and improve engagement.

- Experience working with data brokers, third-party APIs (such as Experian, TransUnion, Verizon), and CRM systems.

Nice to have:

- Experience in identity resolution, fraud detection, or behavioral segmentation.

- Familiarity with marketing analytics platforms such as Klaviyo, Meta Ads, and Google Ads.

- Understanding of Background in consumer behavior modeling and audience personalization.

- Experience with Google Tag Manager.

About Skyrocket Ventures

Skyrocket Ventures is a recruiting firm for hundreds of high growth technology companies that range from industry leaders to top-tier startups. This opportunity is with one of our client companies for a full-time permanent hire. Please only apply if you are authorized to work in the U.S.

Please note that even if this job is not a perfect match, we encourage you to apply as long as it is in the ballpark. Companies are often flexible in hiring candidates who do not perfectly fit their written job description, as long as the most important qualifications are there and the candidate is good in general.

Most of the jobs we are recruiting for are not posted online, so if you would like to know of all the opportunities we have that match your interests and qualifications, then please get in touch with us.

After you apply to this job posting, we’ll consider you for this job as well as any other potential matches with our client companies. If we have any potential matches, we’ll share your resume with those companies and contact you about any interview opportunities we can get you.

Thank you, and we wish you a great job search!