Dear Friends 🙌
We are so thrilled you are the active participants of Data Science UA Community 😊
We are working hard to provide higher quality services for you (creating the best events and delivering the highest recruiting level) by listening to your comments and concerns 🧐
How are you liking it so far?
We would love to learn more about your opinion. Can you please leave your comments and give feedback about our events and recruiting team at our Facebook page (the button - Send the feedback at our page) and the Google search rating page for Data Science UA?
Thank you so much for taking your time, we appreciate you and wish a nice day!
We are so thrilled you are the active participants of Data Science UA Community 😊
We are working hard to provide higher quality services for you (creating the best events and delivering the highest recruiting level) by listening to your comments and concerns 🧐
How are you liking it so far?
We would love to learn more about your opinion. Can you please leave your comments and give feedback about our events and recruiting team at our Facebook page (the button - Send the feedback at our page) and the Google search rating page for Data Science UA?
Thank you so much for taking your time, we appreciate you and wish a nice day!
Friends 🙌
Welcome to our #FridaywithDSUA column.
Today in the evening we are watching “Morgan”, a 2016 British-American science fiction horror film directed by Luke Scott in his directorial debut.
The movie is a sci-fi potboiler that starts off by fostering some genuine interest in a character who seems to express something of her moment. Morgan, who’s technically just 5 years old (though far smarter and stronger than her years), is a corporate experiment who has grown up in a glassed-in concrete bunker.
Enjoy your movie 😎
https://www.imdb.com/title/tt4520364/
Welcome to our #FridaywithDSUA column.
Today in the evening we are watching “Morgan”, a 2016 British-American science fiction horror film directed by Luke Scott in his directorial debut.
The movie is a sci-fi potboiler that starts off by fostering some genuine interest in a character who seems to express something of her moment. Morgan, who’s technically just 5 years old (though far smarter and stronger than her years), is a corporate experiment who has grown up in a glassed-in concrete bunker.
Enjoy your movie 😎
https://www.imdb.com/title/tt4520364/
Dear Friends 🙌
We sincerely congratulate you on the professional holiday — Programmer’s Day 💻
On behalf of our friendly team, we wish you the best coding!
We are holding a drawing on our Facebook page — https://bit.ly/3bPmIW6 🎁
You can add your favorite photo from our conferences in the comments of this post and on Monday we will award a prize in a random way: a ticket to our 9th Data Science UA Online Conference!
Just add the photo in the comment and have a chance to get your present 💥
We sincerely congratulate you on the professional holiday — Programmer’s Day 💻
On behalf of our friendly team, we wish you the best coding!
We are holding a drawing on our Facebook page — https://bit.ly/3bPmIW6 🎁
You can add your favorite photo from our conferences in the comments of this post and on Monday we will award a prize in a random way: a ticket to our 9th Data Science UA Online Conference!
Just add the photo in the comment and have a chance to get your present 💥
It won't be cheaper!
Friends, there are 2 days left ❗️until the ticket price increases for the 9th Data Science UA Online Conference, which will be held online on November 20th, 2020.
In just 48 hours, the price will be $20 higher, so have time to buy a ticket at a lower price Early birds, specifically for our community 🎉
Friends, there are 2 days left ❗️until the ticket price increases for the 9th Data Science UA Online Conference, which will be held online on November 20th, 2020.
In just 48 hours, the price will be $20 higher, so have time to buy a ticket at a lower price Early birds, specifically for our community 🎉
Breaking news 💥
1 day left❗️until the ticket price increases for the 9th Data Science UA Online Conference. Hurry up, tomorrow prise will be $20 higher 🕐
See you at the conference.
1 day left❗️until the ticket price increases for the 9th Data Science UA Online Conference. Hurry up, tomorrow prise will be $20 higher 🕐
See you at the conference.
🚀 Data Science UA is looking for Head of Digital
🔥 The position is very hot!
We are looking for team member with the skill, attitude, and determination to become a great Marketing Team Lead.
This person will manage our organization’s day-to-day marketing activities while developing and caring for the long-term strategy.
The candidate will work in PR team and report to CEO.
Required skills:
✔ Having experience and profound knowledge in event management;
✔ General experience in Online marketing (experience in IT is a plus) 3+ years
✔ Marketing Team Lead experience is a plus;
✔ Strong project management organizational skills and strategies development;
✔ Proficiency with the key social media platforms (Facebook, Instagram, LinkedIn, Youtube, and Twitter);
✔ Successful record of executed social/digital campaigns; experience in digital marketing: lead-gen campaigns setup & analytics, ads;
✔ Strong analytic skills with extensive experience working with web analytics tools (Facebook ads, AdWords, Google Analytics);
Technical knowledge and in-depth experience in building digital inbound marketing competencies, including SEO;
✔ Has ambitious goals and is ready to take responsibility for the results of work
✔ Good team player, with ability to work independently;
✔ Result-oriented and well-organized
✔ Speaks at least Upper-Intermediate English
Responsibilities:
✔ Manage and execute digital marketing initiatives across a variety of channels;
✔ Support and development of internal and external/PR activities
✔ Marketing strategy development and implementation;
✔ Develop and implement social media strategies to align with business goals and growth campaigns — including, Facebook, Instagram, Linkedin, Youtube, and Twitter,
✔ Participation in redesign / launch of the company website, control over execution;
✔ Effective management of the marketing, advertising and promotional activities.
More details via the link: https://jobs.dou.ua/companies/data-science-ua/vacancies/131857/
Please send your resume on the info@data-science.com.ua 📩
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA!
🔥 The position is very hot!
We are looking for team member with the skill, attitude, and determination to become a great Marketing Team Lead.
This person will manage our organization’s day-to-day marketing activities while developing and caring for the long-term strategy.
The candidate will work in PR team and report to CEO.
Required skills:
✔ Having experience and profound knowledge in event management;
✔ General experience in Online marketing (experience in IT is a plus) 3+ years
✔ Marketing Team Lead experience is a plus;
✔ Strong project management organizational skills and strategies development;
✔ Proficiency with the key social media platforms (Facebook, Instagram, LinkedIn, Youtube, and Twitter);
✔ Successful record of executed social/digital campaigns; experience in digital marketing: lead-gen campaigns setup & analytics, ads;
✔ Strong analytic skills with extensive experience working with web analytics tools (Facebook ads, AdWords, Google Analytics);
Technical knowledge and in-depth experience in building digital inbound marketing competencies, including SEO;
✔ Has ambitious goals and is ready to take responsibility for the results of work
✔ Good team player, with ability to work independently;
✔ Result-oriented and well-organized
✔ Speaks at least Upper-Intermediate English
Responsibilities:
✔ Manage and execute digital marketing initiatives across a variety of channels;
✔ Support and development of internal and external/PR activities
✔ Marketing strategy development and implementation;
✔ Develop and implement social media strategies to align with business goals and growth campaigns — including, Facebook, Instagram, Linkedin, Youtube, and Twitter,
✔ Participation in redesign / launch of the company website, control over execution;
✔ Effective management of the marketing, advertising and promotional activities.
More details via the link: https://jobs.dou.ua/companies/data-science-ua/vacancies/131857/
Please send your resume on the info@data-science.com.ua 📩
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA!
Hi, go through our weekly job digest and choose your project 🔥👇
📌 Full Stack Engineer — https://bit.ly/3kJn1FV
📌 Node.js Developer for AI start-up — https://bit.ly/3bN37G3
Our partner is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. Our team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.
📌Technical Lead (Node/React) — https://bit.ly/3m5ezBO
📌 DevOps Engineer (with Python) — https://bit.ly/3c3D910
The company is looking for a Team Lead that will work as a part of a team of multi-disciplined engineers. This is product-based company. The team is responsible for providing a full-stack self-service solution to clients and partners for planning, activation, measurement, and insights, tapping into the best of company’s proprietary data and analysis.
📌 BigData Developer with Python and SQL — https://bit.ly/2ZJaUzN
You are going to build innovative data pipelines for processing and analyzing client’s large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing varied technologies like custom transformation/integration apps in Python and Java, and pipelines in Spark, Kafka, Kinesis, transforming and analyzing in SQL.
📌 Machine Learning Research Engineer — https://bit.ly/3iBHD0X
📌 Manual QA engineer — https://bit.ly/3gViTjh
Our friends are a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several states of the art machine learning systems.
📌 Full-Stack Web Developer (Python backend) — https://bit.ly/3kGu4iH
This is a VC-backed startup creating a system that lets one voice sound like another, focused on very
high-quality output and usability for demanding applications like TV and movies, call centers, and gaming.
📌 Product Analyst — https://bit.ly/3kDB0wZ
A product-based company is looking for an ambitious and skilled Product analyst. They are developing a very cool product (market place). Join this team!
Send your resume on the cv@data-science.com.ua 🙂
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA.
📌 Full Stack Engineer — https://bit.ly/3kJn1FV
📌 Node.js Developer for AI start-up — https://bit.ly/3bN37G3
Our partner is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. Our team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.
📌Technical Lead (Node/React) — https://bit.ly/3m5ezBO
📌 DevOps Engineer (with Python) — https://bit.ly/3c3D910
The company is looking for a Team Lead that will work as a part of a team of multi-disciplined engineers. This is product-based company. The team is responsible for providing a full-stack self-service solution to clients and partners for planning, activation, measurement, and insights, tapping into the best of company’s proprietary data and analysis.
📌 BigData Developer with Python and SQL — https://bit.ly/2ZJaUzN
You are going to build innovative data pipelines for processing and analyzing client’s large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing varied technologies like custom transformation/integration apps in Python and Java, and pipelines in Spark, Kafka, Kinesis, transforming and analyzing in SQL.
📌 Machine Learning Research Engineer — https://bit.ly/3iBHD0X
📌 Manual QA engineer — https://bit.ly/3gViTjh
Our friends are a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several states of the art machine learning systems.
📌 Full-Stack Web Developer (Python backend) — https://bit.ly/3kGu4iH
This is a VC-backed startup creating a system that lets one voice sound like another, focused on very
high-quality output and usability for demanding applications like TV and movies, call centers, and gaming.
📌 Product Analyst — https://bit.ly/3kDB0wZ
A product-based company is looking for an ambitious and skilled Product analyst. They are developing a very cool product (market place). Join this team!
Send your resume on the cv@data-science.com.ua 🙂
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA.
Hi Friends 🙌
We were missing documentaries at our #FridaywithDSUA column, so let’s have “The A.I. Race” (2018) documentary movie this evening.
Explore how Artificial Intelligence will change your job as new research shows how much of what you do could be done by robots. From truckers to lawyers & doctors, we bring affected workers face to face with AI experts. How can we prepare for the coming changes to the world economy? 😌
https://ihavenotv.com/the-ai-race
We were missing documentaries at our #FridaywithDSUA column, so let’s have “The A.I. Race” (2018) documentary movie this evening.
Explore how Artificial Intelligence will change your job as new research shows how much of what you do could be done by robots. From truckers to lawyers & doctors, we bring affected workers face to face with AI experts. How can we prepare for the coming changes to the world economy? 😌
https://ihavenotv.com/the-ai-race
Hi Friends!
We are in search of an essential part of our team — Digital Specialist.
If you or your friends seem to be relevant to the description below, do not miss a chance to send us an email on info@data-science.com.ua
More details via the link: https://jobs.dou.ua/companies/data-science-ua/vacancies/131857/
Required skills:
✔ Having experience and profound knowledge in event management;
✔ General experience in Online marketing (experience in IT is a plus) 3+ years
✔ Marketing Team Lead experience is a plus;
✔ Strong project management organizational skills and strategies development;
✔ Proficiency with the key social media platforms (Facebook, Instagram, LinkedIn, Youtube, and Twitter);
✔ Successful record of executed social/digital campaigns; experience in digital marketing: lead-gen campaigns setup & analytics, ads;
✔ Strong analytic skills with extensive experience working with web analytics tools (Facebook ads, AdWords, Google Analytics);
Technical knowledge and in-depth experience in building digital inbound marketing competencies, including SEO;
✔ Has ambitious goals and is ready to take responsibility for the results of work
✔ Good team player, with the ability to work independently;
✔ Result-oriented and well-organized
✔ Speaks at least Upper-Intermediate English
Responsibilities:
✔ Manage and execute digital marketing initiatives across a variety of channels;
✔ Support and development of internal and external/PR activities
✔ Marketing strategy development and implementation;
✔ Develop and implement social media strategies to align with business goals and growth campaigns — including, Facebook, Instagram, Linkedin, Youtube, and Twitter,
✔ Participation in redesign/launch of the company website, control over execution;
✔ Effective management of the marketing, advertising and promotional activities.
We are in search of an essential part of our team — Digital Specialist.
If you or your friends seem to be relevant to the description below, do not miss a chance to send us an email on info@data-science.com.ua
More details via the link: https://jobs.dou.ua/companies/data-science-ua/vacancies/131857/
Required skills:
✔ Having experience and profound knowledge in event management;
✔ General experience in Online marketing (experience in IT is a plus) 3+ years
✔ Marketing Team Lead experience is a plus;
✔ Strong project management organizational skills and strategies development;
✔ Proficiency with the key social media platforms (Facebook, Instagram, LinkedIn, Youtube, and Twitter);
✔ Successful record of executed social/digital campaigns; experience in digital marketing: lead-gen campaigns setup & analytics, ads;
✔ Strong analytic skills with extensive experience working with web analytics tools (Facebook ads, AdWords, Google Analytics);
Technical knowledge and in-depth experience in building digital inbound marketing competencies, including SEO;
✔ Has ambitious goals and is ready to take responsibility for the results of work
✔ Good team player, with the ability to work independently;
✔ Result-oriented and well-organized
✔ Speaks at least Upper-Intermediate English
Responsibilities:
✔ Manage and execute digital marketing initiatives across a variety of channels;
✔ Support and development of internal and external/PR activities
✔ Marketing strategy development and implementation;
✔ Develop and implement social media strategies to align with business goals and growth campaigns — including, Facebook, Instagram, Linkedin, Youtube, and Twitter,
✔ Participation in redesign/launch of the company website, control over execution;
✔ Effective management of the marketing, advertising and promotional activities.
Hi, go through our weekly job digest and choose your project 🔥👇
📌 Full Stack Engineer — https://bit.ly/3kJn1FV
📌 Node.js Developer for AI start-up — https://bit.ly/3bN37G3
Our partner is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. Our team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.
📌Technical Lead (Node/React) — https://bit.ly/3m5ezBO
📌 DevOps Engineer (with Python) — https://bit.ly/3c3D910
The company is looking for a Team Lead that will work as a part of a team of multi-disciplined engineers. This is a product-based company. The team is responsible for providing a full-stack self-service solution to clients and partners for planning, activation, measurement, and insights, tapping into the best of the company’s proprietary data and analysis.
📌 BigData Developer with Python and SQL — https://bit.ly/2ZJaUzN
You are going to build innovative data pipelines for processing and analyzing client’s large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing varied technologies like custom transformation/integration apps in Python and Java, and pipelines in Spark, Kafka, Kinesis, transforming and analyzing in SQL.
📌 Machine Learning Research Engineer — https://bit.ly/3iBHD0X
📌 Manual QA engineer — https://bit.ly/3gViTjh
Our friends are a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several states of the art machine learning systems.
📌 Full-Stack Web Developer (Python backend) — https://bit.ly/3kGu4iH
This is a VC-backed startup creating a system that lets one voice sound like another, focused on very
high-quality output and usability for demanding applications like TV and movies, call centers, and gaming.
📌 Product Analyst — https://bit.ly/3kDB0wZ
A product-based company is looking for an ambitious and skilled Product analyst. They are developing a very cool product (market place). Join this team!
Send your resume on the cv@data-science.com.ua 🙂
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA.
📌 Full Stack Engineer — https://bit.ly/3kJn1FV
📌 Node.js Developer for AI start-up — https://bit.ly/3bN37G3
Our partner is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. Our team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.
📌Technical Lead (Node/React) — https://bit.ly/3m5ezBO
📌 DevOps Engineer (with Python) — https://bit.ly/3c3D910
The company is looking for a Team Lead that will work as a part of a team of multi-disciplined engineers. This is a product-based company. The team is responsible for providing a full-stack self-service solution to clients and partners for planning, activation, measurement, and insights, tapping into the best of the company’s proprietary data and analysis.
📌 BigData Developer with Python and SQL — https://bit.ly/2ZJaUzN
You are going to build innovative data pipelines for processing and analyzing client’s large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing varied technologies like custom transformation/integration apps in Python and Java, and pipelines in Spark, Kafka, Kinesis, transforming and analyzing in SQL.
📌 Machine Learning Research Engineer — https://bit.ly/3iBHD0X
📌 Manual QA engineer — https://bit.ly/3gViTjh
Our friends are a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several states of the art machine learning systems.
📌 Full-Stack Web Developer (Python backend) — https://bit.ly/3kGu4iH
This is a VC-backed startup creating a system that lets one voice sound like another, focused on very
high-quality output and usability for demanding applications like TV and movies, call centers, and gaming.
📌 Product Analyst — https://bit.ly/3kDB0wZ
A product-based company is looking for an ambitious and skilled Product analyst. They are developing a very cool product (market place). Join this team!
Send your resume on the cv@data-science.com.ua 🙂
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA.
Guys, incredible news ‼️
On October 8 Julien Simon will hold an online meetup "Simplifying dataset preparation with Amazon SageMaker Processing" , where he will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Registration >>> https://bit.ly/32X9h3P
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and on Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
As ML practitioners know, transforming raw data into a dataset ready for training is hard work. Converting data to the format expected by the algorithm, splitting and shuffling data, handling outliers, filling missing values, engineering new features: the list goes on! Indeed, running, scaling, and keeping track of these processing jobs can quickly add lots of extra cost and complexity to any ML project. In this session, we’ll start with a quick introduction of Amazon SageMaker, a fully-managed and modular service for ML. Then, we’ll discuss SageMaker Processing, a capability that lets you easily run and your data processing workloads without having to worry about infrastructure at all. We’ll also talk about SageMaker Experiments, another capability that makes it easy for you to organize, and track ML jobs at any scale. Of course, we’ll do a demo using Jupyter notebooks. This talk should be of interest to any ML developer and data scientist. Attendees should be reasonably familiar with Python as well as typical ML workflows. Basic knowledge on core AWS services (regions, EC2, S3, IAM) would be nice but isn’t mandatory.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: English
On October 8 Julien Simon will hold an online meetup "Simplifying dataset preparation with Amazon SageMaker Processing" , where he will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Registration >>> https://bit.ly/32X9h3P
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and on Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
As ML practitioners know, transforming raw data into a dataset ready for training is hard work. Converting data to the format expected by the algorithm, splitting and shuffling data, handling outliers, filling missing values, engineering new features: the list goes on! Indeed, running, scaling, and keeping track of these processing jobs can quickly add lots of extra cost and complexity to any ML project. In this session, we’ll start with a quick introduction of Amazon SageMaker, a fully-managed and modular service for ML. Then, we’ll discuss SageMaker Processing, a capability that lets you easily run and your data processing workloads without having to worry about infrastructure at all. We’ll also talk about SageMaker Experiments, another capability that makes it easy for you to organize, and track ML jobs at any scale. Of course, we’ll do a demo using Jupyter notebooks. This talk should be of interest to any ML developer and data scientist. Attendees should be reasonably familiar with Python as well as typical ML workflows. Basic knowledge on core AWS services (regions, EC2, S3, IAM) would be nice but isn’t mandatory.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: English
Hi Friends 🙌
We have already closed all speakers positions for Business and Tech tracks the 9th Data Science UA Conference and now we are in search of the best Speakers for our Workshop track during the Conference 😊
If you or your friend feel the power to conduct the top Workshop for our participants, do not hesitate to fill in the form: https://forms.gle/5v7G1KofoRYa66th7, and we will contact you and give feedback.
Become part of the most powerful Data Science community!
Join our Workshop track!
We have already closed all speakers positions for Business and Tech tracks the 9th Data Science UA Conference and now we are in search of the best Speakers for our Workshop track during the Conference 😊
If you or your friend feel the power to conduct the top Workshop for our participants, do not hesitate to fill in the form: https://forms.gle/5v7G1KofoRYa66th7, and we will contact you and give feedback.
Become part of the most powerful Data Science community!
Join our Workshop track!
Hi Friends 🙌
Ready to have some relax on this Friday night with #FridaywithDSUA?
Then turn on “Hi, AI”, a German documentary that was released in early 2019. The documentary was based on Chuck’s relationship with Harmony — an advanced humanoid robot. The film’s depiction of artificial intelligence is in sharp contrast with other fictional movies on AI. The documentary also depicts that even though human research is moving in the direction of creating advanced robots, interactions with robots still don’t have the same depth as human conversations. The film won the Max Ophüls Prize for best documentary for the year.
Enjoy your time 🤗
https://m.imdb.com/title/tt9081788/
Ready to have some relax on this Friday night with #FridaywithDSUA?
Then turn on “Hi, AI”, a German documentary that was released in early 2019. The documentary was based on Chuck’s relationship with Harmony — an advanced humanoid robot. The film’s depiction of artificial intelligence is in sharp contrast with other fictional movies on AI. The documentary also depicts that even though human research is moving in the direction of creating advanced robots, interactions with robots still don’t have the same depth as human conversations. The film won the Max Ophüls Prize for best documentary for the year.
Enjoy your time 🤗
https://m.imdb.com/title/tt9081788/
Hi, go through our weekly job digest and choose your project 🔥👇
📌 Junior/Middle Data Engineer — https://bit.ly/3il22XT
Our partner is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. Our team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.
📌 Senior/Lead Data Scientist — https://bit.ly/2GfGizg
An international leader in the native advertising market, founded in 2008. The platform helps the media monetize the audience, and the brands — to convey the correct advertising message to its consumers.
📌Technical Lead (Node/React) — https://bit.ly/3m5ezBO
📌 DevOps Engineer (with Python) — https://bit.ly/3c3D910
The company is looking for a Team Lead that will work as a part of a team of multi-disciplined engineers. This is product-based company. The team is responsible for providing a full-stack self-service solution to clients and partners for planning, activation, measurement, and insights, tapping into the best of company’s proprietary data and analysis.
📌 BigData Developer with Python and SQL — https://bit.ly/2ZJaUzN
You are going to build innovative data pipelines for processing and analyzing client’s large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing varied technologies like custom transformation/integration apps in Python and Java, and pipelines in Spark, Kafka, Kinesis, transforming and analyzing in SQL.
📌 Machine Learning Research Engineer — https://bit.ly/3iBHD0X
📌 Manual QA engineer — https://bit.ly/3gViTjh
Our friends are a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several states of the art machine learning systems.
📌 Product Analyst — https://bit.ly/3kDB0wZ
A product-based company is looking for an ambitious and skilled Product analyst. They are developing a very cool product (market place). Join this team!
Send your resume on the cv@data-science.com.ua 🙂
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA.
📌 Junior/Middle Data Engineer — https://bit.ly/3il22XT
Our partner is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. Our team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.
📌 Senior/Lead Data Scientist — https://bit.ly/2GfGizg
An international leader in the native advertising market, founded in 2008. The platform helps the media monetize the audience, and the brands — to convey the correct advertising message to its consumers.
📌Technical Lead (Node/React) — https://bit.ly/3m5ezBO
📌 DevOps Engineer (with Python) — https://bit.ly/3c3D910
The company is looking for a Team Lead that will work as a part of a team of multi-disciplined engineers. This is product-based company. The team is responsible for providing a full-stack self-service solution to clients and partners for planning, activation, measurement, and insights, tapping into the best of company’s proprietary data and analysis.
📌 BigData Developer with Python and SQL — https://bit.ly/2ZJaUzN
You are going to build innovative data pipelines for processing and analyzing client’s large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing varied technologies like custom transformation/integration apps in Python and Java, and pipelines in Spark, Kafka, Kinesis, transforming and analyzing in SQL.
📌 Machine Learning Research Engineer — https://bit.ly/3iBHD0X
📌 Manual QA engineer — https://bit.ly/3gViTjh
Our friends are a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several states of the art machine learning systems.
📌 Product Analyst — https://bit.ly/3kDB0wZ
A product-based company is looking for an ambitious and skilled Product analyst. They are developing a very cool product (market place). Join this team!
Send your resume on the cv@data-science.com.ua 🙂
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA.
Want to hear a talk from a very professional Amazon speaker? 🎉Friends, don't miss the chance, you will definitely remember it and want to hear his speech again!
On October 8 Julien Simon will hold an online meetup "Simplifying dataset preparation with Amazon SageMaker Processing", where he will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
On October 8 Julien Simon will hold an online meetup "Simplifying dataset preparation with Amazon SageMaker Processing", where he will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
Hi Friends 🙌
This Friday in our weekly column #FridaywithDSUA we recommend the newest movie “Archive” (2020).
2038: George Almore is working on a true human-equivalent AI. His latest prototype is almost ready. This sensitive phase is also the riskiest. Especially as he has a goal that must be hidden at all costs: being reunited with his dead wife 🤔
https://m.imdb.com/title/tt6882604/
This Friday in our weekly column #FridaywithDSUA we recommend the newest movie “Archive” (2020).
2038: George Almore is working on a true human-equivalent AI. His latest prototype is almost ready. This sensitive phase is also the riskiest. Especially as he has a goal that must be hidden at all costs: being reunited with his dead wife 🤔
https://m.imdb.com/title/tt6882604/
Hi Friends 🙌
Only 2 days left before the webinar "Simplifying dataset preparation with Amazon SageMaker Processing” where Julien Simon will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Hurry up to register and get your ticket: https://data-science-ua.com/events/simplifying-dataset-preparation-with-amazon-sagemaker-processing-online-meetup/
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
Only 2 days left before the webinar "Simplifying dataset preparation with Amazon SageMaker Processing” where Julien Simon will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Hurry up to register and get your ticket: https://data-science-ua.com/events/simplifying-dataset-preparation-with-amazon-sagemaker-processing-online-meetup/
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
Friends, we will have an extremely cool event soon! It will be informative, fun, and interesting 🔜
On October 21 Data Science UA invites you to participate in the intriguing Online Panel discussion “Uncomfortable Questions About AI”.
Panel discussion language: Russian
We will discuss uneasy questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
Data Science UA gathered the best speakers to talk on these issues:
🔹 Borys Pratsiuk, Chief Technology Officer at Scalarr
🔹 Nika Tamayo Flores, Head of Consulting Data Science UA
🔹 Alexandr Honchar, Entrepreneur, Advisor, and Author in AI at Neurons Lab
The evening and panel talk will be very hot, so book your time on October 21st and join the intriguing discussion.
You can leave your questions before the start at the Facebook page and the speakers will answer them within the event.
The authors of the most uncomfortable and memorable questions will get gifts from Data Science UA.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
On October 21 Data Science UA invites you to participate in the intriguing Online Panel discussion “Uncomfortable Questions About AI”.
Panel discussion language: Russian
We will discuss uneasy questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
Data Science UA gathered the best speakers to talk on these issues:
🔹 Borys Pratsiuk, Chief Technology Officer at Scalarr
🔹 Nika Tamayo Flores, Head of Consulting Data Science UA
🔹 Alexandr Honchar, Entrepreneur, Advisor, and Author in AI at Neurons Lab
The evening and panel talk will be very hot, so book your time on October 21st and join the intriguing discussion.
You can leave your questions before the start at the Facebook page and the speakers will answer them within the event.
The authors of the most uncomfortable and memorable questions will get gifts from Data Science UA.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Hi Friends 🙌
Only 1 day left before the webinar "Simplifying dataset preparation with Amazon SageMaker Processing. Online meetup" 🔝
Tomorrow Julie Simon will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Hurry up to register and get your ticket: https://bit.ly/32X9h3P
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
Only 1 day left before the webinar "Simplifying dataset preparation with Amazon SageMaker Processing. Online meetup" 🔝
Tomorrow Julie Simon will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Hurry up to register and get your ticket: https://bit.ly/32X9h3P
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
Hi Guys 🙌
Today you have a unique opportunity to buy 2 tickets for the price of 1 ticket 😱
You can grab your conference ticket here:
https://data-science-ua.com/conference/
and get the present 🎁 - your ticket to the webinar “Simplifying dataset preparation with Amazon SageMaker Processing. Online meetup” with Julien Simon on October 8th!
Today you have a unique opportunity to buy 2 tickets for the price of 1 ticket 😱
You can grab your conference ticket here:
https://data-science-ua.com/conference/
and get the present 🎁 - your ticket to the webinar “Simplifying dataset preparation with Amazon SageMaker Processing. Online meetup” with Julien Simon on October 8th!
Friends, there are a few hours left to register for a very interesting webinar 🔥 Today Julien Simon will hold an online meetup, where he will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
❗Registration: https://bit.ly/32X9h3P
Participants of the webinar, we will send a link with access to the event to you by mail at 18:00. Please check for a letter (it may be in spam).
If you do not find a letter from us, write to info@data-science.com.ua and we will send a letter again immediately 📩
10% of the money for the purchased tickets will be donated for Charity campaign of Group of Active Rehabilitation: https://bit.ly/DSUAforGAR
Report language: English
❗Registration: https://bit.ly/32X9h3P
Participants of the webinar, we will send a link with access to the event to you by mail at 18:00. Please check for a letter (it may be in spam).
If you do not find a letter from us, write to info@data-science.com.ua and we will send a letter again immediately 📩
10% of the money for the purchased tickets will be donated for Charity campaign of Group of Active Rehabilitation: https://bit.ly/DSUAforGAR
Report language: English
