Data Scientist - Product
Mountain View, California
Applications have closed
Confluent, Inc.
Confluent makes it easy to connect your apps, data systems, and entire business with secure, scalable, fully managed Kafka and real-time data streaming, processing, and analytics.We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s unlimited potential. Chart your own path and take healthy risks with the backing and support of our #OneTeam culture. Be part of inclusive initiatives like Employee Resource Groups and development programs, and take advantage of benefits that support our diverse global teams. Grow as we grow—whether you’re just starting out or managing a large team, you’ll be amazed at the magnitude of your impact.
About The TeamThe mission of the Data team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a hyper growth start-up.
About The RoleAs a thought partner to our product team, you will work closely with product managers, engineers, and designers to define success metrics, design experiments, build visualizations, discover insights and ultimately shape product and company strategy. You will also have the opportunity to interact with Executives and other cross functional teams to develop and deliver actionable recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.
Main Responsibilities Including:
- Define product success metrics, build/maintain dashboards to monitor the health of our products and understand changes to our KPIs
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities by mining massive amounts of data and extracting useful product insights
- Design and evaluate experiments
- Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making
What We're Looking For
- Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
- 1+ years of experience in data science and analyticsExcellent data manipulation skills, proficiency in SQL.
- Experience with Python or R is a plus
- Experience visualizing data and building dashboards. (eg. Tableau, Metabase, Looker, etc.)
- Strong problem solving skills and ability to translate business requirements into analytical questions
- A team player who can collaborate with engineers, product managers, marketers and other cross-functional teams
- Effectively communicate insights and recommendations to cross-functional partners; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
What Gives You An Edge
- Experience and/or knowledge in experimental design and applied statistics (i.e. A/B testing) in an industry setting
- Experience with developing statistical frameworks to understand users and their behaviors
- Experience in a product-focused role at a technology companyExperience identifying, scoping and driving data science projects with cross-functional partners and high business impact
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
Tags: A/B testing Computer Science Economics Engineering Kafka KPIs Looker Mathematics Metabase Python R Research SQL Statistics Tableau Testing
Perks/benefits: Career development Health care Startup environment Unlimited paid time off
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Analyst Intern jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs