Senior Data Scientist

Senior Data Scientist – Customer Success (fully remote)

 

Founded back in 2017 by two ex-Google employees, this successful scale-up has changed the meaning of tech support by applying a machine learning style UI to a chatbot to deliver ongoing automated technical assistance to their customers.

 

With over 50 employees now in the company, they are growing rapidly and are looking for an incredible Senior Data Scientist to join their customer success team.

 

If you are experienced in NLP and have fresh ideas to bring to the table to solves customer data science solutions, then this is a great fit for you!

 

We are looking for the following;

 

  • Broad range of analytical skills – Comfortable performing statistical analysis along with machine learning analysis
  • NLP experience (ideally text-classification)
  • Proficiency with modelling and developing in Python & experience using visualisation tools (R or SQL)
  • Tech stack; Python, Pandas, Scikit learn, Transformers (BERT, GPT-2, DeBERTa, GPT-3)

 

You can expect to;

 

  • Perform customer specific data analysis projects
  • Create general data science solutions for multiple customers
  • Collaborate closely with solution managers and the ML team
  • Occasionally lead a related portion of customer-facing meetings
  • Collaborate with software developers to understand data pipeline and taking ownership of portions of this;
  • Collaborate with leadership to strategize quarterly data science-related initiatives

 

Interviews are already taking place so if you are interested get in touch quickly.

 

Please reach out to me directly or apply below and we’ll come to you!

 

Megan Booth

Megan.Booth@oxygendigital.ai

+31 (0) 20 399 7486

 

For more AI & Data opportunities in the Netherlands check out these vacancies: https://bit.ly/3joqlbw

 

Oxygen Digital are AI & Data Science specialists across Europe

Attach a resume file. Accepted file types are DOC, DOCX, PDF, HTML, and TXT.

We are uploading your application. It may take a few moments to read your resume. Please wait!