We are a team of scientists, developers and consultants, combining the latest technologies and breakthroughs in data science with years of experience working with leading marketers in various business domains. We provide a SaaS solution to large marketers across Europe to analyse the performance of their marketing communication and campaign activities. Our modelings and predictive analytics enable tangible recommendations and immediate actions with long-lasting impact.

We are building a top-notch marketing analytics service. We believe it results from ambitiously applying data science to the most relevant business problems, high-quality code and coding practices together with high level of automation, as well as relentlessly focusing on customer service, ensuring an unmatched end-user experience.

We function as a tight team, working the many facets of data science and data engineering, such as building data pipelines, designing and setting up cloud infrastructure, method development, software development, and working closely with customers. We thrive by solving challenging high-value problems that bring considerable impact to our customers.

As a Customer Data Scientist at Sellforte you will

• Work in an open and easy-going startup environment with nice colleagues

• Be a member of a supportive and motivated team with several PhD's and other specialists

• Help onboarding new customers to our marketing analytics service/platform

• Do exploratory data analysis with customer data (using Python and e.g. pandas, matplotlib, seaborn) to solve customer-specific issues and business problems, also helping to develop new insights and features to the software

• Collaborate with other data scientists to implement and train machine learning models, predictive analytics such as time series forecasting, and Bayesian models to infer causal impacts

Your skillset

• Interest in startups, data science and learning the most recent technologies

• Positive and get-things-done attitude in general

• Good communication skills, e.g. explaining deeply technical issues to non-technical people

• Ability to identify and solve business problems based on data and quick analysis

• Hands-on skills especially with Python, such as ability to extract relevant features from multiple datasets

• Experience working as a data scientist (or in a similar role) in the industry, having applied data analysis or ML/AI methods to real business problems

• Fluent English is necessary, other languages are considered an advantage

• MSc or PhD Degree in Data Science, Computer Science, Statistics, Mathematics, Physics or other quantitative field

Check our site for more info: https://www.sellforte.com/