ZoomInfo is seeking a Senior Data Scientist to join our Innovation Data Science team to develop cutting-edge data products in its industry-leading B2B sales and marketing intelligence platform. If you are a visionary data scientist who thrives on transforming data into high impact customer-facing applications, this is an exciting opportunity to help build out the Data Science functions in our India location(s) and propel our business to new heights.

About our Team

Our mission is to maximize the value of ZI’s comprehensive B2B database through practical application of ML and Generative AI to solving real-world business challenges. To this end, the team has cultivated a powerful fusion of product thinking, ML, language models, and iterative methodologies which work together to deliver a robust suite of data products that inject data-driven intelligence into every facet of ZI. We actively research existing solutions and adapt them to fit our unique requirements, all while leaving ample room for creativity. We collaborate with other data scientists, product managers, ML engineers, subject-matter experts and key business stakeholders to form a cohesive unit dedicated to identifying critical gaps and defining effective approaches to solving the most valuable problems in our business. The result? An impressive array of both experimental and production-ready Data Science products that have a tangible impact on our customer’s ability to generate revenue with their Go-to-Market motion. Embrace the opportunity to join our accomplished team on this transformative journey, where innovation and teamwork thrive, and where your contributions will shape the future of data-driven excellence.

About the Job

As part of our Innovation Data-Science team, you will be working on delivering solutions for a variety of business problems:

• Build personalized lead scoring models to rank contacts for our customers
• Mine hidden relationships among large networks of business contacts and/or companies
• Build scoring models that drive accuracy, confidence and trust in firmographic attributes extracted from unstructured text
• Develop recommender systems to identify high intent companies and/or contacts which are most likely to engage with a customer at any given point in time
• Introduce innovative, state-of-the-art ML solutions to overhaul existing models
• Provide clear technical guidance and mentorship to junior data scientists. Promote a culture of continuous learning and knowledge sharing within the team

• Partner with ML engineers to review and co-optimize technical designs
• Support productionization and deployment of data science models and pipelines

About You

• Experience: 6+ years of demonstrated experience in Data Science, with a proven track record of delivering impactful data-driven solutions
• Educational Background: Master's degree in quantitative field: Statistics, Data Science, Applied Math, Computer Science, Physics or equivalent experience
• Data-Centric Mindset: Be willing to explore the data and have it guide you to the best solution. Able to utilize a diverse range of advanced statistical and analytic techniques to inform development priorities and decision-making processes.
• Languages and Compute Frameworks: Deep experience in Python, SQL, and Spark, with a strong focus on efficient handling of large data, are a must. Bonus points for hands-on experience with Ray.
• ML Production Experience: Hands-on experience in delivering production-ready ML systems at scale, utilizing cloud-managed tools like Snowflake, Dataproc, EMR, Airflow, and similar platforms.
• ML Frameworks: Deep experience w/ PyTorch, XGBoost, SparkML, scikit-learn, etc. are a must.
• NLP: Hands-on experience with NER, text classification and topic modeling using libraries such as NLTK, spaCy, Hugging Face Transformers, or others. Up-to-date on recent advances in the LLM space.
• ML Theory: Demonstrated ability to understand how machine learning models work under the hood and adept at selecting and evaluating the most appropriate model for any given business problem
• Communication: Excellent cross-functional and verbal communication skills, enabling seamless coordination across teams and effective communication with business partners and stakeholders. Ability to present complex technical concepts and results to both technical and non-technical audiences in a clear and understandable manner