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Pošalji prijatelju

Data Scientist (m/f)

Zagreb

Rok prijave:

Ericsson Nikola Tesla is in search of a candidate to fill a vacancy for:

We are truly a global company, working across borders in 175 countries, offering a diverse, performance-driven culture & an innovative & engaging environment where employees enhance their potential every day.
To ensure professional growth, Ericsson offers a stimulating work experience, continuous learning & growth opportunities that allow you to acquire the knowledge & skills necessary to reach your career goals.

Job description:

We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Candidates experienced as developers, proficient in Java/Python/etc. looking for career switch to data scientist/ML expert are welcome

Responsibilities:

  • Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets online that could be used for training
  • Defining validation strategies
  • Defining the preprocessing or feature engineering to be done on a given dataset
  • Training models and tuning their parameters
  • Analyzing the errors of the model and designing strategies to overcome them
  • Deploying models to production
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results

Skills:

  • Proficiency with a deep learning framework such as TensorFlow/Keras
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
  • Expertise in visualizing and manipulating big datasets
  • Ability to write robust code in Python, Java and R
  • Ability to work in a team

Experience with the following tools and technologies is nice to have but not mandatory:

  • Hadoop, Spark, Kafka,
  • Relational SQL and NoSQL databases
 

Candidates will be evaluated and contacted if they pass initial screening.

 
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