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Business Technology & Data
Job ID: R00785
Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favourite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organisations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organisation. With Confluent, organisations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energised to roll up their sleeves and help realise 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 Role:
As a Data Scientist in the Data Science Solutions team, you will collaborate closely with the marketing operations team and the sales operations team to build go-to-market intelligence products and improve Confluent’s go-to-market efficiency. You will leverage your Machine learning and modeling skills to help the team make better business decisions and automate the business process. You will also build and implement models that have a huge impact on the critical areas of the business. You are also encouraged to think out of the box and play with the latest technologies while exploring their limits. Successful candidates will have strong technical capabilities, a can-do attitude, and are highly motivated.
If you are flexible, team-focused, excited by the Data world, skilled at handling and prioritizing tasks, and able to maintain a positive and professional attitude, even under stressful situations, this role could be an excellent opportunity for you!
What You Will Do:
Partner with the marketing operations team and sales operations team to identify business opportunities to improve marketing operation and sales operation efficiency and develop algorithms and methodologies to address them
End-to-end model building for key business areas including lead scoring, linkage mapping, etc.
Work with business partners and enable them to leverage our data products to help their day-to-day work and improve the overall go-to-market efficiency
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 are looking for :
5+ years of experience in data science and analytics
Strong proficiency in SQL and Python (5+ years of experience)
Proficiency in data visualization (eg. Tableau, etc.)
Strong skills and experience in applying Machine Learning algorithms to the business domain
Bachelor's degree in a quantitative discipline and/or Engineering: Statistics, Computer Science.
The ability to communicate cross-functionally, derive requirements, and deliver insightful analysis and/or models; 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 applying statistical modeling and linkage mapping algorithms in real-world business setups
Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives
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. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
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