اسنپ
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Data Science Team Lead - SnappBox
اشتراک گذاری
Tehran/ Zaferanieh
Full Time
Sat to Wed 8:30 to 17:45
-
-
1001 - 5000 employees
Internet Provider / E-commerce / Online Services
Iranian company dealing with Iranian and foreign customers
2014
Privately held
توضیحات بیشتر angle

key Requirements

5 years experience in similar position
Managerial work experience
Bachelor Math / Statistics or Computer and IT
Microsoft Excel - Intermediate
Sql Server - Intermediate

Job Description

About Snappbox

Snappbox is a disruptive on-demand urban delivery platform in Iran, connecting any business with the largest fleet of delivery men in the country. Only a few companies have access to high-quality, low-cost last-mile delivery. At the same time, many bikers would like to work more but can’t find customers. We want to change this forever, through smart technologies and new standards of operations.
We are building the future, so join us.


About the Position

As a Data Science Team Lead, you will lead a team of data scientists and analysts to develop and implement data-driven solutions that drive business growth and improve customer experience. The ultimate goal of the Data Science Team Lead is to help the company improve its products and business decisions by making the most out of its data.


Responsibilities


  • Lead a data scientists and analysts team to develop and implement data-driven solutions.
  • Develop and maintain data, algorithms, and statistical models to support business decisions.
  • Collaborate with cross-functional teams to identify opportunities for data-driven solutions.
  • Communicate complex data-driven insights to non-technical stakeholders.
  • Manage and mentor team members to ensure their professional growth and development.


Requirements


  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • 4+ years of experience in data science, machine learning, or a related field.
  • 1+ years of experience in leading a team of data scientists and analysts.
  • Strong knowledge of statistical modelling, machine learning, and data analysis.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Excellent communication and interpersonal skills.

Job Requirements

Gender
Men / Women
Military service
Military service must be done
Education
Bachelor| Math / Statistics Bachelor| Computer and IT
Software
Sql Server| Intermediate Microsoft Excel| Intermediate

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