Data Scientist, Product

Posted about 2 months agoViewed

📍 Location: US

🔍 Industry: Engineering Management Platform

🏢 Company: Jellyfish👥 101-250💰 $71,000,000 Series C about 3 years ago🫂 Last layoff about 2 years agoAnalytics Information Technology Software

🪄 Skills: AWSPostgreSQLPythonSQLData AnalysisMachine LearningNumpyAlgorithmsData sciencePandas

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
Bonus points if you have experience with: 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)

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

Posted about 2 months ago

📍 USA

🧭 Full-Time

💸 178500.0 - 210000.0 USD per year

🔍 Healthcare Technology

🏢 Company: Cedar👥 101-250💰 $68,361,000 Series D over 2 years ago🫂 Last layoff over 2 years agoMedical Billing Payments Health Care FinTech

🔧 Requirements

7+ years of experience in an analytical role
A go-getter attitude, passion for delivering a world-class product experience, and a mindset focused on growth and learning
An analytical attitude and passion for finding opportunities and insights within data
Understanding of statistical methods for research and experimentation purposes
Strong presentation and project management skills
Experience collaborating with product, design, and engineering teams
SQL and Python expertise is a must-have

💡 Responsibilities

Partner with the Product, Design, and Engineering teams to develop an understanding of user behavior and opportunities for product improvement using data
Drive and influence data focused decision making on product teams to move metrics and improve the patient experience
Perform exploratory research to provide product teams with new strategic ideas and levers to improve impactful metrics
Analyze, measure, and track the performance and success of product features
Identify data insights and recommendations for product teams to act and iterate on
Ideate, design, and evaluate product experiments
Build dashboards and visualizations to democratize data insights
Present and clearly communicate data findings and underlying methodology to partners across all levels of the organization
Proactively determine areas where Data Science can help add strategic value
Lead new team initiatives to help the Data Science team grow and scale
Think from the perspective of a user and develop expert intuition of Cedar’s data models and product
Mentor and upskill other team members by providing thoughtful and thorough feedback to uphold the high standards of data analyses on our team

Project ManagementPythonSQLData AnalysisMachine LearningData scienceData visualization

Posted about 2 months ago

Posted 4 months ago

📍 United States, Canada, Philippines

💸 125200.0 - 190600.0 USD per year

🔍 Home services marketplace

🏢 Company: Thumbtack👥 1001-5000💰 $275,000,000 Series G almost 4 years ago🫂 Last layoff over 2 years agoHome Services Local Service Industry Professional Services

🔧 Requirements

5+ years of experience in data science, analytics or economics.
Experience managing stakeholders with competing priorities in areas such as Product Management, Design, Engineering and Marketing.
Experience scoping, analyzing, and communicating results of experiments.
Expert in SQL.
Strong communication skills and ability to build relationships cross-functionally and with leadership.
Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Engineering, Analytics, Math, Computer Science, Operations Research, Economics.

💡 Responsibilities

Propose and conduct quantitative research into key user behaviors, product flows, and business trends.
Design and analyze experiments and tests for causal inference.
Partner with product managers, engineers to scope new features.
Define and monitor key metrics; investigate changes and propose next steps.
Develop expertise in specific topic areas like Thumbtack search.
Contribute to team data culture through design and maintenance.

PythonSQLData AnalysisMachine LearningData science

Posted 4 months ago