Senior Data Scientist
Waltham, Massachusetts, United States
Full Time Senior-level / Expert USD 167K - 230K
ZoomInfo
It’s our business to grow yours! Own your market with leading B2B contact data combined with sales intelligence, engagement software, and workflow tools.At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo.
ZoomInfo is seeking a Senior Data Scientist to join our Innovation Data Science team to develop Signal Relevancy models that power our industry-leading B2B sales and marketing intelligence platform. If you are a visionary data scientist with expertise in Recommender Systems, Scoring Models, Sentiment Modeling, NLP, and LLMs, this is an exciting opportunity to shape how businesses identify and act on the most valuable market signals.
About our Team
Our mission is to unlock the full potential of ZoomInfo’s extensive B2B data by applying ML and Generative AI to extract meaningful topics, trends, and entities that optimize the full Go-to-Market stack. We combine deep expertise in modern AI techniques, NLP, NER, and iterative methodologies to develop high-impact AI-powered data products. Our solutions help customers understand market trends, detect emerging topics, and identify key business signals. We collaborate closely with data scientists, product managers, ML engineers, and domain experts to build state-of-the-art NLP models that drive customer engagement and sales intelligence. Our work powers enterprise-scale AI applications that extract insights from vast amounts of unstructured text.
What you will do:
As part of our Innovation Data Science team, you will be working on developing and deploying NLP models that extract, classify, and structure unstructured text data to support key business use cases:
- Design and implement advanced scoring models to rank and prioritize business signals based on relevance, intent, and predictive value.
- Develop and optimize recommender systems that suggest the most impactful signals, actions, and contacts to our users.
- Apply Sentiment Modeling and NLP techniques to extract insights from unstructured text, including news, emails, transcripts, and customer interactions.
- Leverage Large Language Models (LLMs) like BERT, GPT, and transformer-based architectures to enhance entity recognition, relationship mapping, and trend detection.
- Build scalable ML pipelines to process and score signals in real time, ensuring high performance and accuracy in production.
- Collaborate with ML engineers to deploy models using cloud-based infrastructures (AWS, GCP, Azure) and distributed computing frameworks (Spark, Ray, etc.).
- Continuously evaluate and refine models based on user feedback, A/B testing, and real-world performance metrics.
- Stay ahead of the latest research in recommender systems, NLP, and AI-driven scoring models, ensuring our solutions remain cutting-edge and industry-leading.
What you will bring
- MS + 5 years or PhD + 3 years in a quantitative field (Computer Science, AI, ML, EE, Physics, Applied Math, etc.).
- Deep expertise in Recommender Systems, Scoring Models, and Signal Ranking Algorithms.
- Strong experience in Sentiment Analysis, NLP, and BERT-based transformer models.
- Proficiency in Python, SQL, and distributed computing frameworks (Spark, Ray, Dask).
- Hands-on experience with ML frameworks (PyTorch, TensorFlow, Hugging Face, Transformers).
- Familiarity with LLM APIs, fine-tuning techniques, model optimization (distillation, reinforcement learning with human feedback, model compression).
- Experience developing scalable ML pipelines using cloud tools like Dataproc, EMR, Airflow, FAISS, Pinecone, or equivalent.
- Strong ability to communicate complex ML concepts to cross-functional teams and business stakeholders.
- A data-driven mindset, capable of exploring vast datasets to extract meaningful insights and drive business impact.
#LI-SK
#LI-Hybrid
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. 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. Learn more about ZoomInfo benefits here.
Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.$167,760—$230,670 USDAbout us:
ZoomInfo (NASDAQ: ZI) is the trusted go-to-market platform for businesses to find, acquire, and grow their customers. It delivers accurate, real-time data, insights, and technology to more than 35,000 companies worldwide. Businesses use ZoomInfo to increase efficiency, consolidate technology stacks, and align their sales and marketing teams — all in one platform.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an Equal Opportunity Employer. We are committed to equal employment opportunities for applicants and employees regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic or status protected by applicable law. At ZoomInfo, we also consider qualified candidates with criminal histories, consistent with legal requirements.
Tags: A/B testing Airflow APIs Architecture AWS Azure BERT Computer Science Dataproc FAISS GCP Generative AI GPT LLMs Machine Learning Mathematics NLP PhD Physics Pinecone Pipelines Python PyTorch Recommender systems Reinforcement Learning Research Spark SQL TensorFlow Testing Transformers
Perks/benefits: Career development Equity / stock options Salary bonus
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