Job Description

● Hold meetings with the line of business executives and senior leaders to frame problems and define or identify business objectives. ● Identify or assess data sources. ● Extract the methodology solutions as a part of model development from literature reviews which can help DM to make decisions. ● Design, develop and deploy models using state of art techniques in machine learning and statistical fields. ● Design and build effective data visualizations. ● Communicate the results to the line of business. ● Write comprehensive and accurate model development documentation. ● Create and maintain optimal data pipeline architecture. ● Assemble large and complex data sets that meet functional / non-functional business requirements. ● Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL ‘big data’ technologies. ● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. ● Work with stakeholders including the executive, product, data, and design teams to assist with data-related technical issues and support their data infrastructure needs.

Requirements

● More than 3 years of work experience in an analytical field (e.g., Computer Science, Industrial Engineering, Economics, Mathematics, Statistics, Informatics, Engineering, Operations Research or another quantitative field), related certification, or industry experience in analytical roles (e.g., consulting, modeling, data analysis). ● Ability to build effective business partnerships with all levels of team members. ● Strong analytical skills with high attention to detail and accuracy. ● Experience in Machine Learning (ML) and AI/ML frameworks and libraries. ● Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. ● Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets. ● Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. ● Strong analytic skills related to working with unstructured datasets. ● A successful history of manipulating, processing, and extracting value from large disconnected datasets. ● Experience with object-oriented/object function scripting languages. ● Fluent in English. ● Familiar with the last related articles. ● Open to learning new technologies. ● An end-of-service card is mandatory for men. ● Age range: 24 to 40 years old. ● Graduates of state universities are preferred.

Employment Type

  • Full Time

Details

برای مشاهده‌ی شغل‌هایی که ارتباط بیشتری با حرفه‌ی شما دارد،

محاسبه‌کننده حقوق

چقدر حقوق بگیرم؟