Objectives of this role
- Develop, validate, and implement machine learning models and algorithms.
- Analyse large and complex datasets to derive actionable insights.
- Collaborate with cross-functional teams to integrate models into the company's products and services.
- Stay updated with the latest techniques in statistical modeling and machine learning.
Requirements
- Proven experience in machine learning algorithms and statistical modeling.
- Proficiency in Python and familiarity with data science libraries such as TensorFlow, Scikit-learn, and Pandas.
- Experience with cloud platforms. While expertise in Google Cloud is preferred, experience with AWS or Azure is also valuable.
- Strong analytical and problem-solving skills.
- Excellent communication skills to explain complex models to non-technical stakeholders.
Required skills and qualifications
- Previous experience in ERP systems.
- Familiarity with big data technologies like Hadoop and Spark.
- Advanced degree in Computer Science, Statistics, or a related field.
What's great in the job?
- Great team of smart people, in a friendly and open culture
- No dumb managers, no stupid tools to use, no rigid working hours.
- No waste of time in enterprise processes, real responsibilities, and autonomy
- Expand your knowledge of various business industries.
- Create content that will help our users on a daily basis.
- Real responsibilities and challenges in a fast-evolving company
What We Offer
Each employee has a chance to see the impact of his work.
You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly
sports sessions, team building events, monthly drink, and much more
Perks
A full-time position
Attractive salary package.
Trainings
12 days / year, including
6 of your choice.
Sport Activity
Play any sport with colleagues,
the bill is covered.
Eat & Drink
Fruit, coffee and
snacks provided.
