Job Description

At Bama, by using the vast amounts of data available since 2009, we have an amazing and unique opportunity to identify new patterns and make new discoveries in Iran’s vehicle market, which will guide us to help customers and dealers via providing a smarter Bama. Bama Artificial Intelligence team is looking for a new member to join us. Responsibilities: You will • be responsible for the gathering, analysis, and interpretation of data. Develop, Implement and enhance high impact business process improvement projects. • provide information and recommendations to leadership on both regular and ad-hoc basis. • use data visualization programs, tools and techniques to generate dashboards, reports and presentations that aid in data storytelling, understanding and interpretation of trends and patterns in Iran’s vehicle market. • create and maintain statistical models for ongoing and ad-hoc review and analysis of data. • implement and validate predictive models as well as create and maintain statistical models with a focus on big data. • be exposed to incorporate a variety of statistical and machine learning techniques such as logistic regression, experimental design, generalized linear models, mixed modeling, decision trees, neural networks and ensemble models.

Requirements

• BSc Degree in Computer Science, Engineering, Math, Finance, Statistics or related technical fields, or equivalent practical experience • At least 2 years of experience as a Data Analyst/Scientist or BI/Python/T-SQL Developer • Strong Mathematics background • Knowledge/Experience in Artificial Intelligence and Machine Learning • Knowledge/Experience in Python programming language • Solid understanding of relational database concepts, experience working with databases, database management tools and SQL. • Excel programming/macro writing • Knowledge and direct experience using business intelligence reporting tools such as PowerBI or Tableau • Strong data manipulation and interpretation skills • Problem solver • Creative and ingenious • Plenty of drive, energy, and initiative, and willing to make a change • Someone 'hands-on' • Strong technical and analytical abilities

Employment Type

  • Full Time

Details

Employment type

  • Full Time

Educations

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