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 over 4,300 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.
We are looking for a dynamic Data Scientist to join our Product Operations & Analytics Team reporting to the VP of Product Operations. This unique position requires an analytical mind combined with a deep understanding of our products.
As part of the team, you will be pivotal in making data-driven strategic decisions by leveraging predictive modeling and machine learning techniques, especially around our business metrics. You will also use predictive modelling to increase and optimize customer experience, product decisions, and other business outcomes and share them with the product management group and executives.
You will develop processes and tools to monitor and analyze model performance.
The ideal candidate is adept at working with large data sets to find business opportunities using a variety of models. You must be comfortable working with a wide range of stakeholders.
So, what will you be doing all day?
Inference and Predictive Modeling and Analysis
- Develop and maintain churn prediction models for various products and customer types.
- Build models for upsell/down-sell opportunities and risk, and predict conversion probabilities for both self-serve and high-touch customers.
- Develop models that optimize our user journey, adoption, activation and growth of our products.
End-to-End Model Ownership
- Take full ownership of the model development cycle - from ideation and design to communication, iteration, collaborate with data engineers to productionize and support.
Stakeholder Collaboration
- Collaborate closely with stakeholders, including the C-suite, Go-To-Market team, Product Management, Marketing, etc.
- Gather requirements feedback and ensure alignment with business objectives.
- Present complex data findings in a clear, concise, and actionable manner to non-technical stakeholders.
Product and Business Understanding
- Develop a deep understanding of our products and business, ensuring that models and analyses are relevant and actionable.
Analytics Team Support
- Lead the automation of large and complex tasks, streamlining processes and enhancing efficiency for the analytics team.
Requirements: This is the perfect job for someone who:
A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
At least 2 years of experience as a Data Analyst. Experience in a product-focused role is preferable.
Minimum of 1 year of hands-on experience as a data scientist in building advanced predictive and machine learning models using Python or R.
Strong ability to communicate complex data findings in a simple and effective manner to stakeholders at all levels.
Demonstrated ability to collaborate with cross-functional teams and drive results.
Highly analytical with excellent problem-solving skills and attention to detail.
A drive to learn and master new technologies.
Masters degree in a quantitative field - a plus
Experience in solving product and business problems in a B2B SaaS company - a plus
Experience with BI tools - a plus
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