Data Scientist - Field Ops (Sales Analytics)
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 enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
About The Team:The 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 Role:We are now looking for a talented and driven individual to accelerate data and analytics efforts and boost our Field Operations trajectory - Sales, Customer Success, Business Development. This person will work closely with Sales leadership and operation strategy business partners to develop and deliver high quality data foundations, statistical models and 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.
Responsibilities
- Partner with Sales leadership, Strategy & Ops business partners to frame problems, both mathematically and within the business context
- Perform exploratory data analysis to gain a deeper understanding of the problem
- Create a production dashboard to help track and interpret key performance metrics
- Develop machine learning models to drive market efficiency
- Drive long-term science roadmap on production models and tools
- 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.
- 3+ years of experience in data science and analytics.
- Excellent data manipulation skills, proficiency in SQL.
- Proficiency in statistical modeling with Python or R Experience visualizing data and building dashboards. (eg. Tableau, Metabase, Looker, etc.)
- Strong problem-solving skills and ability to translate business requirements into analytical questions
- Effectively communicate model methodology, 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
- 5+ years of experience in data science and analytics.
- Experience and/or knowledge in optimization modeling or experimental design in an industry setting
- Experience working with B2B data sources: such as Salesforce, Clari, Zendesk, GainInsights, Marketo, etc.
- Experience working in GTM function at a SaaS company, e.g. key go-to-market funnel optimization, customer insights & retention, etc.
Come As You Are
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.
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Tags: Computer Science Data analysis Economics EDA Engineering Looker Machine Learning Mathematics Metabase ML models Python R Research SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Startup environment
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