NewsCred is the world’s leading content marketing platform. We’re powering marketing technology for the future – helping brands transform the way they connect with people, build brand love, and win more customers. Our cutting-edge technology enables top brands such as Pepsi, Pfizer, Dell, Diageo, and Spotify to create amazing content experiences with simplicity, speed, and global scale.

Every day, across three offices, more than 200 brilliant people come to work at NewsCred, and commit their talents, passions, time, and energy to shape the future of an industry. We love working with incredibly talented people. We love helping our clients win. We love inventing new products. We love being trailblazers in a new category. And we are proud of the fact that each year we pay millions of dollars to help inspire and employ the next generation of great journalists, artists, and creators. 

We're not making small changes; we're building technology to completely rethink how people create, consume, and share their stories with the world.

Overview

As a Data Scientist you will need to understand how to integrate multiple systems and data sets. You need to be able to link and mash up distinctive data sets to discover meaningful insights. This often requires connecting different types of data sets in different forms as well as being able to work with potentially incomplete data sources and cleaning data sets to be able to use them.

Responsibilities

• Conceptual modelling: to be able to come up with relevant conceptual models to fit a variety of data types; 
• Statistical analysis: to understand and work around possible limitations in statistical and data mining models;
• Predictive modelling: Use predictive modelling techniques to create projections for certain types of data;
• Hypothesis testing: being able to develop hypotheses and test them with careful experiments;
• Data access, transformation, and data management;
• Data discovery: make use of processes of searching for patterns or specific items in a data set;
• Finding data related problems and designing solutions.

Requirements

• Impeccable written and verbal English communication skills;
• Being able to work in a fast-paced multidisciplinary environment as in a competitive; landscape new data keeps flowing in rapidly and the world is constantly changing;
• Having the ability to query databases and perform statistical analysis;
• Being able to develop or program databases;
• Being able to advise stakeholders on the implications of different scenarios;
• Basic understanding of how a business and strategy works;
• Being able to create examples, prototypes, demonstrations to help management better understand our product.

Data scientists can have different backgrounds such as econometrics, physics, statistics, computer science, applied mathematics or engineering.

What we can offer you!

• Best in class compensation plans
• Awesome culture - passionate, driven and fun team
• Two annual festival bonuses
• Flexible vacation policy
• Transport facilities
• Free catered lunch
• Medical insurance
• Training and career development opportunities