Data Scientist, Product

June 21

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Jellyfish

WebsiteLinkedInAll Job Openings

Your Platform to Perform

Digital Strategy • Search • Analytics • Integrated Campaign Planning • Design & Build

1001 - 5000

Description

• 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

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 • 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)

Benefits

• A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. • We only hire people who have a passion for building great companies in an environment where a sense of humor is a must. • Applicants must be authorized to work for Any employer in the US. We are unable to sponsor or take over sponsorship of an employment Visa at this time.