Evreka Careers

Join the Crew to be a part of something meaningful and excellent!

Data Scientist

  • Product Development
  • Remote
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Data Scientist

Evreka is a leading SaaS company focused on improving waste collection and city cleaning operations by providing the most comprehensive solution in the sector. Evreka uses high technology and environment-friendly solutions with a platform that digitizes and optimizes these waste collection and cleaning processes with AI & machine learning to reduce costs, save time, and increase citizen satisfaction. Evreka reaches millions of people and provides its end-to-end solutions to international waste management companies, smart cities, and municipalities in the world. 

You’ll work with EvrekaCrew, a talented and interdisciplinary team with a strong creative culture, and help us deliver high impact work and help them for the development of Evreka. We always welcome new ideas for overall enhancement. As EvrekaCrew, we believe in our values by heart and we know that they are the main motivation for our success. 

Job Description

  • Developing algorithms for assignment, scheduling, clustering tasks etc.
  • Developing solutions for real world optimization problems, such as Vehicle Routing.
  • Developing forecasting applications to predict waste demand based on sensor data
  • Data analysis, derive insights for unique customer cases
  • Help with data visualization, integrated BI reports for Evreka Insights module

Requirements

  • Bachelor’s degree in Engineering
  • 2-3 years relevant experience
  • Strong knowledge of Python
  • Strong technical skills regarding statistics, data analysis, machine learning and programming
  • Experience in SQL and relational databases such as PostgreSQL.
  • Excellent English

Nice to have: 

  • Knowledge on machine learning models for Clustering and Forecasting tasks.
  • Knowledge about characteristics of time series data, and time series data analysis.
  • Knowledge about spatial data science and spatial databases such as PostGIS.
  • Knowledge about Data visualization tools such as PowerBI, Grafana
  • Good understanding of Operations Research and optimization problems such as scheduling, routing (TSP, CVRP, Arc Routing, etc.).
  • Knowledge of Open Source Routing Engines such as Valhalla, OSRM.
  • Familiarity with core development tools such as Docker, Git, FastAPI.

Personal traits:

  • Passionate about technology and eager to learn and stretch boundaries,
  • Works well in a team and takes initiative,
  • Seeks new approaches and new ideas,
  • Critical thinker,
  • Curious learner,
  • Definitely a DOer.

We offer

  • The opportunity of working in a global startup
  • Competitive compensation package
  • A fun workplace with dynamic and hardworking EvrekaCrew and the opportunity to get responsibilities from the first day.
  • This is the “challenge yourself” role where you learn something new every day, never stop growing, and have fun while you’re doing it.
  • Unlimited growth opportunities! You can order any book or training you want!
  • Ability to contribute to learning and the possibility to advance a challenging atmosphere to improve themselves
  • Ability to influence the future of the company
  • Generous leave and vacation programs; including paid parental bonding leave, birthday leave and motivation leave.
  • MacBook or Windows options: You can take the equipment you need for your convenience!
  • EvrekaCrew Yearly Camp: Have fun together and build our future!
  • Subscription to HBR, Forbes, Netflix, BluTV, Blinkist

If you’re looking for an exciting journey you want to wake up every day to a role that offers real responsibilities and a great team to be a part of, then EvrekaCrew is waiting for your application.

Do you think that it may be you?

  • Join us to contribute!

Join the EvrekaCrew

As EvrekaCrew, we are simplifying the complexity of waste management and city cleaning processes which are common problems for people from every part of the world. Join us to make the world simpler and livable via Evreka solutions.

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