Data Scientist • Lead

Who you are

You have a strong background in data science, with experience in developing recommendation systems that drive user engagement and satisfaction. Your analytical skills are complemented by your ability to communicate complex data insights to non-technical stakeholders, ensuring that your findings lead to actionable strategies. You thrive in collaborative environments and are eager to work with cross-functional teams to enhance product offerings. Your passion for data and technology fuels your desire to innovate and improve user experiences.

You possess a deep understanding of machine learning algorithms and their applications in real-world scenarios. You are comfortable with data manipulation and analysis, using tools and languages such as Python or R to extract meaningful insights from large datasets. Your experience includes working with various data sources and ensuring data quality and integrity throughout the analysis process. You are also familiar with A/B testing methodologies and can design experiments to validate hypotheses effectively.

What you'll do

As the Lead Data Scientist at Scribd, you will spearhead the development of advanced recommendation systems that personalize user experiences across our platforms. You will collaborate closely with product managers, engineers, and designers to identify opportunities for leveraging data to enhance user engagement and retention. Your role will involve analyzing user behavior and preferences to inform the design of algorithms that deliver tailored content recommendations.

You will lead a team of data scientists, guiding them in best practices for data analysis and machine learning model development. Your leadership will foster a culture of innovation and continuous improvement, encouraging team members to explore new methodologies and technologies. You will also be responsible for presenting your findings and recommendations to stakeholders, ensuring that data-driven insights are integrated into the product development process.

In addition to technical responsibilities, you will play a key role in shaping the data strategy at Scribd, identifying key metrics to track and measure the success of our recommendation systems. You will work on optimizing existing models and exploring new approaches to enhance their effectiveness. Your contributions will directly impact the user experience, helping Scribd achieve its mission of democratizing access to knowledge and stories.

What we offer

At Scribd, we offer a flexible work environment that prioritizes both individual needs and team collaboration. Our culture encourages employees to be authentic and bold, fostering an atmosphere where innovative ideas can flourish. We believe in the power of diverse perspectives and actively seek to create an inclusive workplace. Join us in building something meaningful and impactful in the world of stories and knowledge.