Junior Data Scientist (Summer trainee)

at  Sellforte

Hello and welcome to start your next journey with Sellforte!
We are a fast-growing team of exceptionally talented individuals on a mission to enable marketers to accelerate their growth through smarter, data-driven decisions. Sellforte is a Marketing Mix Modelling (MMM) SaaS solution designed for marketing teams to holistically evaluate and optimise the effectiveness of their marketing and promotional activities. We don’t just deliver cool marketing metrics or fancy dashboards – we deliver real impact, leveraging Bayesian methods and cutting-edge data science.
At Sellforte, you’ll be part of a collaborative and innovative team. Our roughly fifteen data scientists form the backbone of our entire business. Together, we ambitiously tackle critical business problems, develop high-quality code and automation, and deliver an unmatched end-user experience.

HOW TO APPLY:

If this sounds like the opportunity you’ve been looking for, we’d love to hear from you! Let’s start this incredible journey together.

As a Junior Data Scientist (Summer trainee), you will gain hands-on experience in both product development and customer delivery. Your tasks may vary from week to week, allowing you to explore different facets of data science work. Here’s what you can expect:

• Explore and Analyse Data: Conduct exploratory data analysis with customer data (using tools like Python and pandas) to solve customer-specific issues and business problems.
• Customer Onboarding: Assist in onboarding new customers to our marketing analytics platform, including setting up data flows between customers and Sellforte.
• Product Development: Contribute to product improvements by sharing insights and learnings, developing new features, and enhancing automation.

• Collaborative Model Building: Work closely with data scientists and engineers to implement and train predictive machine learning models, such as time series forecasting and Bayesian models, to infer causal impacts statistically.

What we hope from you:

• Interest in Startups and Data Science: You are excited about the dynamic startup environment and have a passion for data science.
• Strong Communication Skills: Fluent in English, with the ability to effectively explain insights and technical concepts.
• Problem-Solving Ability: Skilled at identifying and solving business problems through data analysis.
• Technical Proficiency: Hands-on experience with Python and its data science libraries.
• Positive Attitude: A proactive, can-do mindset and the ability to get things done.