Senior Data Scientist, ZoomInfo
$161.6-202k
+ Bonus & Equity
More information about location
2-4 days a week in office
Market intelligence and contact details database
Job no longer available
Market intelligence and contact details database
1001+ employees
Job no longer available
$161.6-202k
+ Bonus & Equity
More information about location
2-4 days a week in office
1001+ employees
Company mission
To unlock the growth potential of professionals and businesses with a modern end-to-end revenue operating system.
Role
Who you are
- Experience: MS + 5yrs or PhD + 3yrs in quantitative field: Statistics, Applied Math, Computer Science, Physics or equivalent
- 2+ yrs building personalized recommender systems, employing advanced techniques such as deep learning-based models, sequential recommendation algorithms, reinforcement learning frameworks, and/or dynamic re-ranking
- Skilled in continuous model evaluation and adaptation to evolving user preferences and behavior patterns based on real-world feedback
- 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: Able to write readable, testable, maintainable and extensible code in Python, SQL, and Spark. Bonus points for Ray
- Production ML: Experience developing data preparation, model training and inference pipelines using cloud-managed tools like Dataproc, EMR, Airflow, vector databases (FAISS, Pinecone), or equivalent
- ML Frameworks: Deep experience w/ PyTorch, XGBoost, SparkML, model registries (Hugging Face), LLM APIs, etc
- Theory: Understanding of latest deep learning architectures and when to apply a given pre-trained model. Some experience with techniques like prompt engineering, fine tuning, reinforcement learning w/ human feedback, model distillation and model compression. Up-to-date on recent advances in the LLM space
- Communication: Able to navigate large projects with multiple collaborators. Excellent cross-functional and verbal communication skills, enabling seamless communication with business partners and stakeholders
What the job involves
- As part of our Innovation Data-Science team, you will be working on building out our recommendation and ranking systems stack which will support a variety of business use cases
- Tell our customers who they should reach out to next, what action they should take, and why
- Identify key signals that drive a user's next best action in order to optimize sales outcomes using advanced probability, statistics, predictive performance, and ML/RL
- Design and implement state-of-the-art recommender systems to identify high-intent companies and contacts, optimizing customer engagement and conversion rates over time
- Build innovative new AI solutions, enhance existing models, drive continuous improvement and keep us ahead of industry trends. Promote a culture of continuous learning and knowledge sharing within the team
- Partner with ML engineers to review and co-optimize technical designs. Support the productionization and deployment of data science models and pipelines, ensuring scalability, reliability, and efficiency in real-world applications
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 maximises 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
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
(Founder & CEO)Originally founded DiscoverOrg which went on to become ZoomInfo through an acquisition in 2019.
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