RRemoteville
Jellyfish logoJellyfish

Data Scientist, Product

Skills
Computer ScienceSQLData ScienceData VisualizationDeep LearningNatural Language ProcessingPredictive Analytics
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Product mindset, keenly focused on the value users and customers can get from the experiences you’re helping to build
  • Routinely take an iterative, incremental approach to arrive at an ultimate solution
  • Effective and efficient communication with both technical and non-technical colleagues; thrive working as part of a cross-functional team
  • Can handle ambiguity and work with stakeholders to understand the essence of their questions and requests to get to a set of requirements that are tractable
  • Reliable intuitions about data, and can generally address them without guidance
  • Proven experience in data science, solid python skills, proficient SQL knowledge
  • Can independently reduce complex problems into a solvable framework
  • Interest in prototyping, building, testing, and deploying advanced algorithms and technology
  • Can balance project goals, business needs, and technical solutions
  • Enjoy working with real-world data, and excited about testing your ideas and prototypes in partnership with real customers
  • Love learning new things and teaching others what you know

Nice to have

  • Adapting data science algorithms for production applications
  • Building pipelines for data science tasks such as data collection, model training, or parameter optimization
  • Our engineering technology stack (Python 3, Django, Postgres, Docker, AWS)

Day to day

  • Collaborate with product managers, designers, and engineers to design and build compelling, innovative new experiences that drive real change for our customers
  • Apply techniques from statistics, signal processing, natural language processing, machine learning, generative AI, and other areas to develop new algorithms and power advanced features within Jellyfish
  • Plan, implement, and deploy improvements to the core algorithms and inference engines that power the Jellyfish platform
  • Make improvements to how we validate, test, and deploy data science algorithms and models
  • Measure the impact of the experiences the team's building