Remote Data Scientist, Product Job in United States Jellyfish

Who you are

• 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

Desirables

• 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)

What the job involves

• 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