Data Scientist, Product @ Jellyfish | Jobright.ai
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Jellyfish · 2 days ago

Data Scientist, Product

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AnalyticsInformation Technology

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Responsibilities

Collaborate with product managers, designers, and engineers to design and build compelling, innovative new experiences
Apply techniques from statistics, signal processing, natural language processing, machine learning, generative AI, and other areas to develop new algorithms
Plan, implement, and deploy improvements to the core algorithms and inference engines of the platform
Enhance validation, testing, and deployment processes for data science algorithms and models
Measure the impact of the team's developed experiences

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Product mindsetData sciencePythonSQLPrototypingAlgorithm developmentProject managementProblem-solvingCommunicationTeamworkAdaptabilityReliabilityInnovationData Science AlgorithmsProduction ApplicationsBuilding PipelinesData CollectionModel TrainingParameter OptimizationEngineering Technology StackPython 3DjangoPostgresDockerAWSHumilityPerformance-Driven AttitudeTeam PlayerPassionSense of Humor

Required

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

Preferred

Adapting data science algorithms for production applications
Building pipelines for data science tasks such as data collection, model training, or parameter optimization
Experience with engineering technology stack (Python 3, Django, Postgres, Docker, AWS)
Humility, a performance-driven attitude, and a team-player approach
Passion for building great companies in an environment where a sense of humor is a must

Company

Jellyfish

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Jellyfish is an engineering management platform.

Funding

Current Stage
Growth Stage
Total Funding
$114.5M
Key Investors
AccelInsight Partners
2022-02-01Series C· $71M
2021-01-12Series B· $31.5M
2020-05-05Series A· $12M

Leadership Team

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Andrew Lau
Co-Founder & CEO
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Daniel Marks
Account Executive
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Company data provided by crunchbase
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