Company: Datahawk Technology collects every day billions of data points from e-commerce platforms and helps its customers understand their ecosystems(e)We are a young start-up growing fast based in Paris and looking forward to hiring curious and passionate persons(e)Half the team is french, other half is international.
Mission: The aim of the intern (that will hopefully lead to a future hiring) will be to assist the data science team in their current missions(e)Those missions range from NLP to time-series prediction, to the construction of clever KPIs, to reverse engineering of hidden algorithms(e)You will be part and mentored by the data team, currently 5 people: 2 data analysts, one young data scientist, and two applied mathematics PhDs (one data scientist and one ML engineer)(e)We expect to be 10+ by the end of 2022.
Profile: We are looking for open-minded, curious and motivated interns that have a solid background in statistics, mathematics and python, that speak good English and that are familiar with the most common data science approaches and ML algorithms.
? Perks
#1 Perk: Join a team of people willing to help, encourage and motivate one another(e)You'll be part of a group of smart and ambitious people that have a true passion for what they do and a heart for the people they work with(e)A team of builders, pioneers, warriors (when needed), and altruistic (always) where you'll feel good in no time.
#2: We take care of our coworkers: most premium Alan's health coverage, Gymlib Premium Membership, and Swile.
#3: An office where you'll want to walk in sleepers(e)It's comfy, warm, and welcoming(e)Located in the heart of Paris, you'll find a friendly and vast open space with areas to relax and a pool table ?(e)Also included: a dedicated gym for DataHawk, lockers, and bike garage.
Headquarters Location: Paris, France (75011) - Rue de Nice
Subway: Charonne (9), Nation (1,2,6, RER A), Alexandre Dumas (2)
#4: Participate in building a cutting-edge Bigdata platform, maintained with modern and up-to-date tools/stack and fueled with trillions of data points collected on a daily basis worldwide.