Data Scientist with Machine Learning Experience

5 days ago


Fatih, Istanbul, Turkey P.I. Works Inc Full time

P.I. Works Inc is a global leader in automating commercial 5G network management.

Our innovative solutions have empowered over 67 mobile operators in 47 countries to transform their networks and improve efficiency.

Come and join our team to work on cutting-edge projects, applying advanced AI methods such as Deep Learning, Statistical Machine Learning, Big Data Complex Event Processing, and Pattern Recognition in the Telecommunication industry.

Job Description:
  • Develop and implement machine learning models to achieve business goals and monitor their performance.
  • Create Proof-of-Concepts (POCs) using state-of-the-art ML technologies and lead the POC process.
  • Work closely with domain experts to define problems, metrics, and ensure model outputs meet expectations.
  • Communicate complex AI concepts to non-technical team members.
  • Contribute to brainstorming sessions to share ideas and learn from others.
Qualifications:
  • Minimum 2-3 years of experience in applied machine learning with a strong track record in statistics, ML model development, data analysis, and visualization.
  • Proficiency in Python and related ML-Data Analysis libraries for time series, forecasting, and anomaly detection.
  • Experience working with deep learning frameworks like Tensorflow and Keras, particularly for RNN in time-series forecasting.
  • Excellent problem-solving skills to distill complex scenarios into tractable models.
  • Expertise in handling and visualizing large datasets.
  • Familiarity with SQL and experience working with various database types.
  • Strong communication skills to effectively collaborate with international teams.
Perks:
  • Opportunities for career growth in a multinational environment.
  • Develop your 5G and AI expertise in a leading company with subject matter experts.
  • International career opportunities.
  • Comprehensive private health insurance.
  • Flexible working hours and generous vacation policy.
  • Transportation allowance.
  • Meal allowance, complimentary breakfast, and soft drinks.
  • Fun pop-up events and gifts.
  • Access to sports activities.


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