Senior Staff Engineer - Data Scientist

Remote, Ecuador

Nagarro

A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.

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Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

  • Work on support and development of product.
  • Perform data analysis on large scale data sets.
  • Develop optimization and/or statistical models and collaborate with stakeholders to deploy them to solve problems.
  • Engage broadly with business to frame, structure and prioritize business requirements into practical analytical solutions.
  • Communicate insights and recommend areas for improvement to stakeholders to drive impactful business results.
  • Analyze large amounts of information to discover trends and patterns.
  • Identify valuable data sources and automate collection processes.
  • Collaborate with engineering and product development teams.

Qualifications

Must have Skills: TensorFlow, Pyspark, Statistics Model. 

  • Must Have Tech Stack: Machine learning (Pyspark, sklearn, TensorFlow, Keras) & experimentation (Pyspark, statistics expertise, optimizely, etc.)
  • Proven experience as a Data Scientist
  • Working experience and knowledge in optimization is must.
  • Analytical mindset and business acumen.
  • Problem-solving aptitude.
  • Excellent communication and presentation skills.

Additional Information

We are looking for a Data Scientist who can work between 7:00 am and 5:00 pm PST. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Data analysis Engineering Keras Machine Learning PySpark Scikit-learn Statistics TensorFlow

Regions: Remote/Anywhere South America
Country: Ecuador

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