About Datagram
Datagram is the holistic data analytics platform. Its goal is to transform complex data from multiple sources into readable KPIs and actionable recommendations to boost its clients’ sales.
As a fast-growing startup in the data analytics market, Datagram is looking for top profiles to support its strong growth.
Job brief
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Responsibilities
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Requirements
Proven experience as a Data Scientist
Experience in data mining
Understanding of machine-learning and operations research
Knowledge of SQL and Python;
Familiarity data frameworks (e.g. Hadoop) is a plus
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Good communication and presentation skills
The assets
A key position
Be among the top 20 employees on the business side of a fast-growing startup.
Progress
With us, you will always come across development opportunities. It’s up to you to grab onto these!
Here or somewhere else
Whether you are with us in our great offices at the heart of Paris (WeWork) or at home, we have 3 rules: no more than 4 hours of jet lag, be on time for our weekly meeting at 2:30 p.m. and achieve your goals!
How to apply
Do you think you are a good candidate for this position? Click on the link to apply.
Share your Application/LinkedIn with us but also an overview of the most significant elements for this position.