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Job Post Details

Data Scientist

Rinf.tech
Romania
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Tipul locului de muncă

  • Cu normă întreagă

Locație

Romania

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What is the impact you want to make?

Unleash your biggest strengths, apply skills & knowledge, learn new things, connect with your peers and build your career with us!

Why rinf.tech?

#EngineerOfTheFuture, #PeopleofManyTalents

  • At rinf.tech, you’ll encounter friendly people who are eager to explore and reinvent the world of technology.
  • We encourage ideas - we like to share and learn from each other. We’re all in for curious & ambitious people.

#GrowOpportunities

  • We continuously invest in developing core teams focused on technologies like Blockchain, AI, and IoT -
    www.rinf.tech/careers/core-blockchain-and-ai-teams/
  • Our Technical Management team, possesses a robust technical background. Many of our team members have advanced to strategic roles through internal promotions.
  • In a state of mutual willingness to share & grow, our RINFers commit to a minimum tenure of 2.5 years on a project.

#EngineeringExcellence

  • Fail fast, learn fast: we experiment, we iterate, we know when to stop and we don't repeat the same mistakes.
  • The right technology stack for the right problem: we don't force technology choices just because we know them; our focus is on solving problems, not on pushing predefined stacks.

#Innovation

  • Adapta Robotics is a successful spin-off born through an R&D project within rinf.tech
    www.adaptarobotics.com/

Why do we do what we do?

We inspire one another to share our tech-works in this amazing and abundant world. So we became developers, innovators, thinkers, software builders, and hardware makers!

Our Vision!

Founded in 2006 with 650+ engineers & global presence (8 delivery centers in Europe & North America) we strive to become a leading East-European technology partner for growing organizations in need of digital transformation of their products and services!

What you’ll do

  • Data Scientist plays a crucial role in organizations by overseeing the collection, storage, and interpretation of data.
  • Activities are traditional machine learning focused, with classification programs, understanding statistical analysis, data mining, programming, problem-solving, and predictive modelling, with good understanding of algorithms.

What you need to be successful

  • Experience and expertise in applying Data Science for Machine Learning, Classification, and Explainability of ML models.
  • Coding experience and expertise in Python/Golang
  • Searching through large datasets to extract meaningful information
  • Understanding and ability to interact with data engineering processes and tools, such as Spark/PySpark
  • Experience in transfer of data into formats suitable for analysis.
  • Correlating similar data points to find actionable insights.
  • Ability to provide explainability to business stakeholders and audience
  • Writing reports and presentations outlining business predictions or proposals based on data analysis
  • Experience in supporting productionalization of produced models

Next Steps for you!

  • Apply
  • CV screening
  • HR Interview
  • Technical Interview
  • Offer presented by our VP of Strategic Projects & CoFounder

Meet us!

Let's meet! We invite you to drop by anytime for a tour of our office, without any commitment.

Join the #PeopleOfManyTalents #EngineerOfTheFuture

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