Senior Staff Engineer - Data Scientist
Remote, Colombia
Nagarro
A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.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 (15000+ experts across 26 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Engineering Keras Machine Learning PySpark Scikit-learn Statistics TensorFlow
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