Data Scientist - Wien, Österreich - Anyline GmbH

Anyline GmbH
Anyline GmbH
Geprüftes Unternehmen
Wien, Österreich

vor 1 Woche

Anna Müller

Geschrieben von:

Anna Müller

beBee Recruiter


Beschreibung

Your mission:


Are you a data enthusiast eager to unlock the power of data and to generate actionable insights? Then you've come to the right place We're hiring curious and hands-on talents who want to actively push the boundaries of our data capture and data insights solutions with us.


What you will do

  • Shape datadriven products as well as
    generate actionable insights for Anyline, prospects and customers.
  • Collaborate closely with Product and Engineering teams to
    develop datadriven products addressing business challenges.
  • Lead data preparation and integration efforts with a focus on quality and consistency.
-
Craft reports and visuals to present complex analyses and assist stakeholders interpretation of results.

  • Take
    ownership of the sustainable design and continuous delivery of our datadriven products.

Your profile:


  • Bachelor's degree in Computer Science, Statistics, a related discipline or equivalent experience.
  • Fluent in English both spoken and written language.
  • Strong sense of
    personal accountability and goalorientation.
-
Proactive attitude to push the boundaries and to go beyond the comfort zone.

  • Experience in working in a
    highly collaborative environment
:


  • Familiarity with the following
    concepts & technologies is a plus: Python, data management frameworks (e.g. numpy, pandas data frames, matplotlib) and machine learning frameworks (e.g. scikitlearn, keras, tensorflow), SQL, ELK stack, Cloudbased data science platforms

Why us?:

-
People & Values:

An autonomous company culture, where every employee can change the future Work with a stellar team where you take over responsibilities from day one.

-
Benefits:

Sponsored lunch with the Anyline Ticket Restaurant Card.
-
Health:

A membership to Austria's largest and most innovative health center.
-
Social Impact & Volunteering:

Each employee gets two complete workdays per year, which can be used to volunteer at any organization.
-
Events & Feel-Good Initiatives:

Numerous company events throughout the year - both onsite and remote Of course we also have snacks, fresh fruit, great drinks and initiatives like "Healthy February" & our own smoothie bar.

-
Learning & Knowledge:

We offer time and resources to enable lifelong learning for each employee
-
Work-Life Dynamic:


At Anyline we offer you the highest level of flexibility because we know that our lives do not neatly fall into a typical 9-5 schedule and that individuals are productive at different times of the day.

Further, you can work remotely, work from the office, or have a workation. Everything to improvise and combine your private & professional life.
-
Public Transport:

Sponsored season ticket for the public transport in Austria.
-
Compensation:

For this position, the monthly base salary we offer ranges between
€ 4.400,-/gross and
€ 5.200,-/gross. The salary is paid out 14x per year, including an all-in contract based on 38,5 hours/week. Your final salary will be in line with your qualifications and experience


About us:

Anyline was founded in 2013 by four co-founders, who are all still part of the company.

Today, there are already over 100 employees - not only in Austria, but also in Germany, the USA & India.

As an Anyliner, you are part of an international team that believes in diversity and the huge potential within it.


We want to become the global leader in mobile data capture solutions as well as the best in AI automation Our goal is to enable people who have no knowledge in Machine Learning to create mobile data collection solutions themselves.

Big things are on the horizon...

We welcome and support people of all backgrounds and identities and want to ensure equal opportunities for all.

This includes, but is not limited to people of all ethnic & racial origins, gender identities, sexual orientations, religions & ideologies, socio-economic statuses, educational backgrounds, ages, and individuals of all abilities.


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