آگهی‌های استخدامی

استخدام Senior Data Scientist

استادکار | Ostadkar
تهران، تهران

شرح موقعیت شغلی

Ostadkar is looking for a Data Scientist who will support our product, sales, leadership, and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Ostadkar is seeking passionate and energetic individuals to join our full-time team in Tehran, Iran. Identify needs and problems and proactively drive solutions.

Qualifications
We hire for culture and believe that skills can be learned. Therefore, the essential requirement is to be a culture fit for our fast pace start-up:




  • Be extremely proactive in identifying issues and tackling challenges.
  • Be very thirsty to learn and grow, both professionally as well as personally.
  • Other essential requirements include the technical skills listed below.
  • Proven ability to learn quickly and apply new technologies and best practices.
  • Work hard; play hard.

Skills And Requirements




  • Bachelor Degree in Computer Science/Engineering, Statistics, Mathematics, or a related area. Master or Ph.D. is a plus.
  • +3 years of experience as a Data Scientist or in related roles such as Data Engineer, Data Analyst, etc.
  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • ‌Basic Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Basic Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
  • Experience visualizing/presenting/dashboarding data for stakeholders using tools like Redash, Tableau, Power BI, D3, ggplot, etc.

Added Values




  • Experience of analyzing data from 3rd party providers such as Google Analytics, Adwords, etc. is a plus.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, Postgresql, etc. is a plus.
  • Excellent written and verbal communication skills for coordinating across teams.

Benefits




  • Flexible working hours.
  • Paid morning transportation.
  • Company-provided breakfast, launch, fruit, and snacks.
  • Choose your OS and work on high-spec tech gears. 

Interview Process
Our process for evaluating candidates is constituted of multiple steps as follows:

Step 1: 
The CTO reviews all applications, and potential ones are selected for a phone interview. He/she will look for the best match for the hiring position. Therefore, please read the job description thoroughly to increase your chance.

Step 2:
A short phone interview will be conducted with the potential candidate by a senior member of our technical team. We will go over your resume and ask questions about the technology stack you had experience. It will be between 10 to 15 minutes.

Step 3: 
A mini project is designed for the candidate to do in less than a week. A senior member of our technical team will be in charge of helping you with this project. 

Step 4:
We will invite you to have a chat. In this meeting, we will review your code and discuss your approach. 

At each step, if we cannot proceed with your application, you'll be notified by email or the medium you applied. However, if you did not get any notification, you are on our waitlist. In stage 2, it may take up to a maximum of 15 working days to call you. However, on average, it takes seven working days for most of our applicants.



مهارت‌های مورد نیاز

  • Data science
  • Python
  • SQL
  • TSQL

حداقل سابقه کار

  • سه تا شش سال

حقوق

  • حقوق از ۳۵,۰۰۰,۰۰۰ تومان

جنسیت

  • مهم نیست

وضعیت نظام وظیفه

  • مهم‌ نیست

نوع همکاری:

تمام وقت

تاریخ انتشار آگهی:

۱۴۰۲/۱۰/۰۳ (منقضی‌شده)
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