Senior Data Scientist, ZoomInfo

Information Retrieval & Natural Language Processing

$167.8-230.7k

Docker

Kubernetes

Python

Java

Tensorflow

Terraform

PyTorch

ChatGPT

Senior and Expert level

San Francisco Bay Area

2-4 days a week in office

Market intelligence and contact details database

Be an early applicant

Market intelligence and contact details database

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsSaaSSales

Be an early applicant

$167.8-230.7k

Docker

Kubernetes

Python

Java

Tensorflow

Terraform

PyTorch

ChatGPT

Senior and Expert level

San Francisco Bay Area

2-4 days a week in office

1001+ employees

B2BArtificial IntelligenceEnterpriseAnalyticsSaaSSales

Company mission

To unlock the growth potential of professionals and businesses with a modern end-to-end revenue operating system.

Job

Company

Role

Who you are

7+ yrs hands-on ML/NLP experience (or 4+ yrs post-PhD/Master’s) with at least two delivered, revenue-impacting products
Expertise in transformer stacks (BERT/GPT/T5), RAG, vector-based IR, and latency/throughput optimization
Proven track record building NER or entity-resolution systems at 100M+ record scale; knowledge-graph experience is a plus
Strong applied research chops (PyTorch or TensorFlow) paired with software-engineering rigor (Python, Go/Java a plus)
Desire to work within MLOps tools and frameworks: Docker, K8s, GitOps, Terraform, feature stores, model registries, automated retraining
Ability to persuade exec and non-tech audiences with data-driven storytelling; comfortable owning strategy & budget

What the job involves

We’re assembling a best-in-class Applied AI group and are hiring a Senior Data Scientist to own core retrieval, NER, and aligned entity-resolution & knowledge-graph initiatives that touch billions of records and serve millions of daily queries
Invent and productionize Transformer/RAG architectures that surface the right contact, company, or insight
Drive quantization, distillation, and SLM fine-tuning so models stay fast and affordable at petabyte scale
Prototype and launch hybrid dense/sparse retrieval pipelines on vector DBs (Pinecone, Weaviate, FAISS, OpenSearch)
Own high-recall NER models that tag people, orgs, locations, and industry-specific entities across multi-language text
Build cross-dataset entity-resolution frameworks that dedupe hundreds of millions of records with sub-second latency; enrich with knowledge-graph signals where valuable
Design large-scale A/B and back-testing plans; close the loop from experiment to KPI uplift
Translate product goals into measurable ML KPIs; influence roadmap, capacity, and investment decisions
Mentor junior scientists/engineers; publish internal requirements documents, external blogs, and present at conferences

Our take

It was only a few years ago when B2B sales teams relied on warm introductions and contact books. Now, cloud-based CRM, automation and Big Data are critical tools for any selling process. ZoomInfo’s B2B contact base has played a massive part in that journey.

The company primarily helps salespeople find potential customers. Crucially, ZoomInfo then leverages technology to help make that approach as successful as possible. Think contact details of the most likely budget holder at that company, signal for when and how to approach and crucial updates on the company’s fortunes.

ZoomInfo has grown significantly over the previous few years and is now shifting its approach to pursue more inorganic growth through mergers and acquisitions, acquiring several companies in 2022, including the job recruitment website Comparably.

The risk for ZoomInfo is that these moves represent expansion beyond its traditional strengths in top-of-funnel customer acquisition. The company will need to ensure that it maximizes synergies in order to win in these markets. The company has expanded operations in India and is set to see further expansion, as indicated by its appearance on the Fortune Future 50 list of robust and growing companies in 2023.

Freddie

Company Specialist at Welcome to the Jungle

Insights

7% employee growth in 12 months

Glassdoor (3.9)

Trustpilot (1.6)

Company

Funding (1 round)

Jul 2004

$7m

SERIES A

Total funding: $7m

Company benefits

Benefits for the Best You - We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being
Base Pay - We attract and retain the best talent with competitive compensation that aligns with industry benchmarks and merit programs yearly for promotions and salary increases based on performance, time in role, and position to market
Bonus - When you crush it, we like to celebrate! Bonuses are awarded annually in connection with company and individual performance
Equity - We offer each employee a generous equity award in the form of RSUs, so they can directly feel the results and success of their hard work
Vacation & Time Off - We know everyone's needs are different so we offer flexible paid time off plans including an unlimited vacation option for many employees
Hybrid Working Model - We offer flexible hybrid remote working models to promote equity, employee wellness, and work life balance

Company HQ

Vancouver

Leadership

Henry Schuck

(CEO)

Originally founded DiscoverOrg which went on to become ZoomInfo through an acquisition in 2019.

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