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Confluent - Data Scientist - Product

IBM

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At a glance

Compensation
No compensation found
Location
RESEARCH TRIANGLE PARK, NC
Work Authorization
Not specified

Job overview

At IBM Software, we transform client challenges into solutions by building AI‑powered, cloud‑native products that shape the future of business and society, offering endless opportunities for IBMers to learn, grow, and make an impact on a global scale.

Skills & qualifications

RequiredNice to have

Skills

SQLPythonA/B TestingCommunicationStakeholder ManagementSaaS/Product‑Led GrowthProblem SolvingAnalytical SkillsTableauCausal InferenceMachine Learning

Qualifications

5+ Years Data Science/Analytics Experience

Full job description

Introduction

At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.

Your role and responsibilities

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite 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 organizations 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 organization. With Confluent, organizations 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 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 Science team at Confluent is to serve as the central nervous system of all things data for the company: we build infrastructure, metrics, insights, and models. Our team of data scientists is dedicated to designing and deploying advanced data solutions that enable organizations across the globe harness the power of real-time data.

We focus on driving actionable insights and optimizing business outcomes across our customers’ data ecosystems. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within our high-growth company.

About the Role:

As a Senior Data Scientist at Confluent, you will be a key player in helping define the product roadmap and driving revenue growth at Confluent. You will collaborate with our Product team and cross-functional partners across the organization. You will use data and analysis to identify and solve challenges, unlocking growth and adoption across our suite of products. This role requires a strong blend of technical skills, strategic thinking and leadership skills to influence strategy and investment decisions.

What You Will Do:

  • Own prioritization for your domain and collaborate with product managers, engineers, marketing leads, and other stakeholders to define the data science roadmap for your product area

  • Work across the org to define and measure success metrics for new features and initiatives

  • Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps

  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience

  • Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy

  • 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

  • Peer review teammates’ work and provide feedback, working to upskill more junior team members

Required technical and professional expertise

  • 5+ years of experience in Data Science/Analytics

  • Strong proficiency in data manipulation with data querying languages (e.g. SQL) and scripting languages (e.g. Python)

  • Experience with A/B testing and experiment best practices

  • Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders

  • Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization

Preferred technical and professional experience

  • Experience in SaaS/Product-led Growth companies

  • Exceptional problem solving skills and analytical skills

  • Proficiency in data visualization and building dashboards with tools such as Tableau

  • Experience and knowledge of causal inference, machine learning and other advanced analytical methods

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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