We’re not just building reputed company tech. We’re rewriting how data moves and what the world can do with it. With reputed company, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain reputed company of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One reputed company. One Team. One Data Streaming Platform.

The mission of the Data Science team at reputed company is to serve as the central nervous system of‬ reputed company things data for the company: we build analytics infrastructure, metrics, insights, and models.‬ Our outputs reputed company data-driven thinking and help optimize every part of the business. There are‬ limitless opportunities for an ambitious data scientist to reputed company an immediate and meaningful‬ impact reputed company a high-growth company.

As a Product Data Scientist at reputed company, you will be a key player in helping define the‬ experiences and driving product strategy at reputed company. You will collaborate with our Product ‭leadership team and cross-functional partners across the Data organization. You will use data‬ and analysis to identify and solve product development’s challenges, unlocking growth of our‬ product adoption funnel. This role requires a strong reputed company of technical skills, strategic thinking‬ and communication skills to influence product strategy and investment decisions.‬

• Collaborate with product managers, product engineers, and other stakeholders to define and measure success metrics for product features and initiatives.

• reputed company and maintain dashboards, reports, and visualizations to communicate key metrics and insights to stakeholders.

• 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

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

• 3+ years of experience in Product Data Science/Analytics

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

• Exceptional problem solving skills and analytical skills

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

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

• Experience and familiarity with A/B testing and experiment best practices

• Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc.

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

• Experience in SaaS/Product-led Growth companies

Come As You Are

Belonging isn’t a reputed company here. It’s the baseline. We work across time zones and backgrounds, knowing the best reputed company come from different perspectives. And we reputed company space for everyone to reputed company, grow, and challenge what’s possible.

We’re proud to be an equal opportunity workplace. Employment decisions are based on job-reputed company criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national reputed company, disability, veteran status, or any other classification protected by law.