Senior Data Scientist, Vendelux
+ Bonus
AI-native event marketing platform
Job no longer available
AI-native event marketing platform
101-200 employees
Job no longer available
+ Bonus
101-200 employees
Company mission
To help companies discover the best events.
Role
Who you are
- We are looking for candidates who are comfortable owning the full lifecycle of model development, from research to implementation, while collaborating with data and engineering teams as needed
- Minimum of 5 years of relevant data science experience with a BS or equivalent experience in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)
- 3+ years of industry experience in building machine learning or genAI systems including model training, tuning, deploying, and monitoring
- Experience in Cloud-based infrastructure; proficiency in SQL, PySpark, etc
- Experience in data pipelines and workflow management tools like Dagster or Airflow a plus
- Experience with ML Ops processes and deploying/productizing ML models a plus
- Practical AI skills, including experience with prompt engineering, RAG, and shipping an LLM to production a plus.
- Track record of shaping and shipping valuable features
- Judgment to take on technical debt and risk where appropriate
- Strong communication skills, especially written
- Previous startup experience
What the job involves
- As a Senior Data Scientist at Vendelux, you will build data solutions that help our customers identify which events to attend and who to connect with at those events to achieve maximum ROI.
- You will apply methods in statistics, machine learning, NLP, and LLMs to problems such as ranking events, predicting attendance, extracting content from unstructured text, and enhancing data quality to enable our customers to have complete confidence in our products.
- Along the way you will extract and share insights from your findings and build data pipelines to support end to end implementation of your models.
- Collaborate with stakeholders and other engineers to define success criteria, frame machine learning problems, align model metrics with business goals, design minimum viable products, architect and implement model solutions in production
- Perform analysis and modeling with large data sets, including discovering data sources, accessing and cleaning data, and developing feature and prediction pipelines
- Apply data mining, NLP, machine learning and generative AI to real-world problems, including but not limited to: supervised/unsupervised learning, large language models, and causal inference
- Communicate insights and results to peers and leaders, promoting a culture of collaboration and learning across teams via mentoring, documentation, presentations, or other knowledge-sharing methods
- Collaborate with engineers in order to design scalable implementations of your models
- Proactively research and explore emerging technology and state-of-art methods, consider possible extensions and prototype new modeling ideas to solve customer problems
- Evangelize appropriate technology, data and engineering best practices
- Work with stakeholders including engineering, product and executives and assist them with data-related technical issues
- Identify bottlenecks and implement improvements to our processes and tools. We're early and the expectation of folks joining at this stage is that you'll play a huge part in setting and improving how we work. Our current stack is Python, Dagster, MySQL and Snowflake, but we’re early stage and open to change if it makes sense
Our take
Event marketing enables companies to engage with potential buyers and showcase their offerings up close - providing an ideal platform to communicate ideas, thoughts and brand identity. Vendelux offers a platform that empowers event marketers and CMOs to analyse customer and competitor behaviour, and in turn choose the best conferences to attend.
The company leverages AI to deliver insights on attendees and sponsors of over 160,000 global conferences, helping customers decide which events they should attend and sponsor for the largest return. It also allows collaboration with sales teams to book meetings with every possible lead, and ROI evaluation tools that prove the value of all event marketing activities.
Since founding, the company has amassed a growing customer base that includes the likes of GitLab, DocuSign and Intel, and has also raised several successful funding rounds. The most recent investment supports increased marketing efforts and the enhancement of its ROI-evaluation tools, as well as hiring to build out its team.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jul 2026
$50m
SERIES B
Nov 2023
$14m
SERIES A
Total funding: $68m
Company benefits
- Regular Retreats: We regularly meet up in beautiful locations around the world to discuss all things Vendelux
- Recharge Weeks: The company shuts downs two times a year so everyone can recharge without work piling up
Company HQ
Midtown South, New York, NY
Leadership
Alex Reynolds
(CEO & Founder)Previously spent over 6 years at Shutterstock, in Directorial, VP and Gm roles. Prior to that, they were a Director of Business Development at YP.
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