Data Scientist Team Manager

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. 

Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.

A day-to-day role as a Team Manager at Similarweb includes:

• Managing a multidisciplinary team of data engineers, data scientists, and data analysts.

• Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.

• Collaborating closely with data extraction, platform, and product teams.

• Communicating with business stakeholders and gathering feedback from customers.

• Hiring new team members and developing the group’s structure.

• Playing a crucial role in shaping product strategy within a startup-like environment.

Day-to-day, the team you will lead will:

• Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.

• Own end-to-end data processes and pipelines, from research and proof of concept to production.

• Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.

• Design, validate, and monitor ongoing processes to ensure quality and reliability.

• Identify, analyze, and monitor new raw data sources as needed.

Ideal candidate profile:

• Passionate about data and problem-solving.

• Holds an M.Sc. or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related field.

• Has 3+ years of experience developing machine learning and statistical algorithms in a production environment.

• Brings 1+ years of people management experience - Must

• Strong experience with Big Data and ML production pipelines (a strong advantage).

• Familiarity with the web, internet, app, or online industry (an advantage).

• Excellent interpersonal communication skills.

About the R&D team

As part of our R&D team at Similarweb, you'll have the opportunity to work on challenging algorithmic problems with no play book solution, solve problems for real customers, and work alongside the best engineers and scientists in the industry. 

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with : Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas :  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

 

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