Remote Senior Data Scientist

Summary

Join Vendelux as a Senior Data Scientist to build data solutions that help customers identify events and connect with attendees for 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.

Requirements

• Minimum of 5 years of relevant data science experience
• 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

Responsibilities

• 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

Benefits

• Competitive base salary and bonus
• Healthcare covering medical, dental and vision
• Work remotely or from our NYC HQ
• Unlimited PTO plus two company-wide shutdowns during the July 4th week and the Christmas – New Years week