Telegram Group & Telegram Channel
Компания: Insquad
Должность: Senior Data Scientist
Вилка: $5000-$7000 per month
Город: Удаленно
Занятость: full time
Контакты: @Daradar

Hi all! 👋 San Fransisco-based startup is looking for a Senior Data Scientist to scale the team. The primary focus is mapping, modeling, and managing business processes by creating digital copies of human or digital interactions using cognitive technologies

Tech Stack:
Python, Pandas, Pyspark, Sklearn, Tensorflow, Keras, Databricks

Main tasks: Develop event clustering algorithms implementing them in the form of spark tasks

Responsibilities:
- Participate and lead, multifaceted analytic studies on large volumes of data;
- Work with the Principal data scientist and participate in all the data experiments tasked by the DataScience Team;
- Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data;
- Experiment against data points, provide insights based on experiment results and provide previously undiscovered solutions to command data challenges using a multitude of techniques (e.g., exploratory mathematic and statistical techniques to NLP, vision, process mining, etc.).

Our perfect candidate has:
- Master’s or Ph.D. in Computer Science, Process Mining, Statistics, Applied Math, Operational research, AI, or related field;
- Overall 5+ years of experience. 3+ years’ practical experience with data processing and analytics;
- Experience and Understanding of Data quality, Features, Aspects of ML Models, ML pipeline/infrastructure.

If you want to apply, please dm me @Daradar

#вакансия #DataScience #Python #remote



tg-me.com/datasciencework/393
Create:
Last Update:

Компания: Insquad
Должность: Senior Data Scientist
Вилка: $5000-$7000 per month
Город: Удаленно
Занятость: full time
Контакты: @Daradar

Hi all! 👋 San Fransisco-based startup is looking for a Senior Data Scientist to scale the team. The primary focus is mapping, modeling, and managing business processes by creating digital copies of human or digital interactions using cognitive technologies

Tech Stack:
Python, Pandas, Pyspark, Sklearn, Tensorflow, Keras, Databricks

Main tasks: Develop event clustering algorithms implementing them in the form of spark tasks

Responsibilities:
- Participate and lead, multifaceted analytic studies on large volumes of data;
- Work with the Principal data scientist and participate in all the data experiments tasked by the DataScience Team;
- Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data;
- Experiment against data points, provide insights based on experiment results and provide previously undiscovered solutions to command data challenges using a multitude of techniques (e.g., exploratory mathematic and statistical techniques to NLP, vision, process mining, etc.).

Our perfect candidate has:
- Master’s or Ph.D. in Computer Science, Process Mining, Statistics, Applied Math, Operational research, AI, or related field;
- Overall 5+ years of experience. 3+ years’ practical experience with data processing and analytics;
- Experience and Understanding of Data quality, Features, Aspects of ML Models, ML pipeline/infrastructure.

If you want to apply, please dm me @Daradar

#вакансия #DataScience #Python #remote

BY Data Science Work


Warning: Undefined variable $i in /var/www/tg-me/post.php on line 283

Share with your friend now:
tg-me.com/datasciencework/393

View MORE
Open in Telegram


Data Science Work Telegram | DID YOU KNOW?

Date: |

Telegram is riding high, adding tens of million of users this year. Now the bill is coming due.Telegram is one of the few significant social-media challengers to Facebook Inc., FB -1.90% on a trajectory toward one billion users active each month by the end of 2022, up from roughly 550 million today.

At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?

Data Science Work from us


Telegram Data Science Work
FROM USA