senior data scientist

yayınlanma
şimdi başvur

iş ilanı detay

yayınlanma
lokasyon
ıstanbul, ıstanbul (avrupa)
sektör
IT & Telekomünikasyon
referans numarası
4264
şimdi başvur

iş tanımı

We are looking for a "Senior Data Scientist for our client which is operating in Software sector.

Work on all aspects of creating predictive intelligence including collecting requirements, establish analytics work plan, data exploration, cleansing, and preparation, identifying features, selecting algorithms, building and testing models, iteratively improving solutions

Collaborate with software developers to put predictive intelligence in production

Design scalable and efficient methods for big data

Research new algorithms and machine learning solutions for solving business problems

Present complex ideas and their value proposition to non-technical audience as a coherent story with clear and easy to follow conclusions

Provide guidance to business decisions with interpreting statistics, prepare high-level presentations of data for executive review

Collecting requirements for both new and existing products of the company

Handle prioritization of various initiatives, and communicate with key stakeholders regarding progress

nitelikler

Bachelor’s degree in statistics, mathematics, economics, computer science, engineering, or similar quantitative discipline 3-4 years working in a similar quantitative role

Proficiency in using query languages such as SQL, Hive, Spark SQL

Proficiency in using statistical modeling tools such as R, SAS, SPSS

Experience in extracting, cleaning and preparing data for modeling

Experience in building and applying machine learning/predictive modeling in real-world use cases

Creative and innovative problem-solving skills

Good team player, result oriented attitude, strong attention to detail and analytical mind

Intellectual curiosity and passion for AI and big data analytics.

Strong desire to take initiative; ability to deal with ambiguity and competing objectives

Advanced level of English

Solid foundation in statistics

Experience in one programming language, e.g. Python, C/C++, Java

Experience with a consumer facing company

Exposure to big data systems and methodologies
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