استخدام Senior Data Scientist
شرح موقعیت شغلی
About The Role
As a Data Scientist, you will help Snapp discovering hidden patterns in vast amounts of data. This will help Snapp to make the right decisions in delivering quality products and services to its stakeholders. In the role, you will mine various types of data, from structured to unstructured using data mining techniques, doing statistical analysis, and building high-quality prediction Machine Learning and Neural Networks models to support initiatives that add business value and drive bottom-line growth. You will be expected to set up Real-Time/Offline ML/Neural Networks to drive predictions, classifications, Anatoly, and pattern recognition in the company to deliver better services to the company. You are expected to be working with cloud-native technology and a multi-cluster environment for the delivery model on big data
Responsibilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Identify major data sources at Snapp, and then, know, collect, cleanse and aggregate all types of data needed for analysis and mining
- Mine and analyze data using state-of-the-art algorithms on large datasets to extract trends and discovering patterns improving our product and services performance.
- Assess the effectiveness and accuracy of data sources and data gathering techniques.
- Design and develop predictive models using machine learning algorithms to increase and optimize customer experiences and other business outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Design of rigorous experiments and interpret the results to draw detailed and actionable conclusions
Requirement
- 3+ years of experience in Machine Learning Model Development or Neural Networks Model Development or 2 Years with Ph.D Background.
- 4+ years of experience in collecting, developing, analyzing, manipulating, and drawing insights from data. Also, demonstrated achievements in the fields of data science.
- Experience with applied statistics skills, such as distributions, statistical testing, hypotheses validation, regression, etc.
- Demonstrated experience with RDMS, Kafka, NoSql and Spark tools
- Experience with Production Level deployment is preferred
- Demonstrated capability of designing, developing, and managing operational KPI dashboards
- Experience in cloud native containers like Dockers and Kubernete
- Experience with a broad range of modeling techniques both supervised (knn, svm, trees and ensemble methods, deep learning, etc) and unsupervised methods ( kmeans, hierarchical clustring, dbscan, etc)
- Practical knowledge and experience of Python/Spark Scala, specifically data science packages such as numpy, pandas, scipy, scikit-learn, NLTK, tensorflow, etc.
- Demonstrated experience working with large, complex datasets using scalable tools related to machine learning and big data
- Experience with Hadoop technologies
مهارتهای مورد نیاز
- Data Analysis
- tensorflow
- NoSQL
- kubernetes
حداقل سابقه کار
- سه تا شش سال
جنسیت
- مهم نیست
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