Data Science UA

Your trusted partner in Data Science/AI/ML

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Data Science UA is a Ukrainian company that has been developing the Data Science Community since 2016 and organizes events in analytics and AI.
That is why we know almost all data scientists and AI developers on the local market in person, so we are always the first to know about their professional achievements and updates.

What makes us unique?

  • Largest database of CV/ML engineers and data scientists in Ukraine

  • Extremely fast and efficient hiring (2 - 4 weeks on average)

  • Complete costs transparency

  • Optimal business model and costs minimization

Data Science UA is a reliable technology partner when you need:

  • Support with different stages of your digital and data transformation: from building data infrastructure and automatic report systems to advanced machine learning models that help to achieve competitive advantages.

  • Scale your internal development team over a short period of time with CV/ML engineers and data scientists.

  • Access AI/ML/NLP/CV talent with skills you don’t have on your local market.

  • Assistance in all stages of AI R&D center establishment from legal and compliance to recruiting and HR management.

Our goal is to provide all services needed by foreign AI companies to enter the Ukrainian market and achieve your business goals with a strategic partner.

$25 - $49/hr
10 - 49
2016
Locations
Ukraine
Sportyvna square, 1A, Kyiv, kyiv 01023

Focus Areas

Service Focus

100%
  • Artificial Intelligence

Industry Focus

40%
40%
20%
  • E-commerce
  • Manufacturing
  • Healthcare & Medical

Data Science UA Executive Interview

Aleksandra Boguslavskaya
Aleksandra Boguslavskaya
CEO and Founder
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Kindly share your feedback on how GoodFirms has been doing so far in increasing your visibility among potential clients.
GoodFirms is one of the primary sources where potential partners can check and confirm our experience, success stories, and client feedback.
Please introduce your company and give a brief about your role within the organization.
Briefly about me - my name is Aleksandra. I am the CEO & Founder of Data Science UA. In 2016 I decided to hold the first data science conference in Kyiv, and that is where the story of Data Science UA began.

Over the years, we’ve built a Data Science and AI ecosystem around a community of 8000+ ML engineers and Data Scientists, which allows us to provide:
  • The establishment of AI R&D Centers;
  • High-quality tech recruitment (150+ closed senior-level positions);
  • Data Science Consulting for companies in Ukraine and around the world;
  • Mentorship and education programs for clients’ teams.
We’ve organized 9 International Data Science UA conferences with 8000+ attendees and 200+ speakers from top global companies. Each month we conduct events on machine learning, computer vision, and the use of artificial intelligence in various fields of business.

That is why we know almost all data scientists and AI developers on the Ukrainian market in person, so we are always the first to know about their professional achievements.
What is the story behind starting this company?
So, in 2016 I decided to hold the first data science conference in Kyiv and it turned out to be the right decision: we got a lot of attendees and excellent feedback.
There were only a few networking events in this field in Ukraine, and people wanted to know more. Now, together with the team, we hold such conferences twice a year.

Soon after the first conference, I got bombarded with requests for AI-related workshops and recruiting from both developers and various companies. It was clear that the market lacks this kind of specialized agency. So I decided to give it a try.

Pretty much everything we do at Data Science UA is based on market needs. We get different requests all the time. After we get the same request a few dozen times, we try to fulfill it by ourselves. That’s how we started not only the recruiting agency but also the consulting branch.
 
As a new business direction, we provide full support to AI product companies in team assembling and R&D center launching in Ukraine. We can hire a dedicated team for the client’s AI project with specialists tailored to exact needs.
What is your company’s business model–in house team or third party vendors/ outsourcing?
Data Science UA is a reliable technology partner when you need:
  • Consulting with a project-based approach (a team of experts managed by our Project Manager): from building data infrastructure and automatic report systems to advanced machine learning models that help to achieve competitive advantages.
  • Team extension: scale your internal development team over a short period of time with CV/ML engineers and data scientists.
  • Recruiting services: Access AI/ML/NLP/CV talent with skills you don’t have in your local market.
  • Assistance in all stages of AI R&D center establishment from legal and compliance to recruiting and HR management.
How does your company differentiate itself from the competition?
Almost all AI/ML/Data Science projects and companies, which come to Ukraine, pass through us. We advise them on the average salary expectations candidates can have and where it is better to open an R&D center and start building a data science team and team expertise. We advise universities on what subjects to add to the curriculum in data science programs.

Together with the Ministry of Culture, our team has created a short educational series on artificial intelligence. Our Head of Consulting, Veronica Tamayo Flores, teaches at the Kyiv School of Economics and Vodafone Big Data School.

We work with the largest database of CV/ML engineers and data scientists in Ukraine (more than 8000 warm candidates). We know almost all of them in person; that’s why we can provide extremely fast and efficient hiring (2-4 weeks on average), and not only for AI/ML roles - we help to hire all IT professionals and C-level executives.

We offer complete cost transparency to our Clients (they know salaries, bonuses, social benefits of each engineer hired for them), and a flexible business model.
What industries do you generally cater to? Are your customers repetitive? If yes, what ratio of clients has been repetitive to you?
The boom in big data started; everyone accumulated large arrays of data but did not know what to do with them. Now we cooperate with various companies in the banking sector, pharmaceuticals, retail, and others. We analyze and simplify their work, help build practical models and visual reports, and make user behavior predictions.
Please share some of the services that you offer for which clients approach you the most for?
We know almost every AI/ML engineer and data scientist here in Ukraine - so we are the first to know about all their professional updates. This really helps us conduct a fast search of “warm” candidates for a particular position. We are leaders in Data Science and AI recruiting, and we help our clients establish their AI R&D centers in Ukraine - forming a dedicated team of developers tailored to the exact requirements of the client.

We closed 150+ Data Science positions (including senior roles) and are hiring for all major product and service companies in Ukraine.
What is your customer satisfaction rate according to you? What steps do you take to cater to your customer’s needs and requirements?
We have long-term relations with multiple partners and clients for 2+ years, and many recommend us to their network and friends. I think it is the best rate of customer satisfaction. Our primary focus is long-term projects and engagements, that’s where our business model is the most attractive.
What kind of support system do you offer to your clients for catering to their queries and issues?
We work with IT product companies and solve their issues on a daily basis, which enables us to stay proactive and master the expertise for our client's success. We aim to cover all operational aspects of our client's business in Ukraine, from accounting and legal, recruiting and hardware to HR and office management and even employer branding. There is always a tech support person and administrative support specialist who can help clients resolve their queries or issues. This allows our clients to focus only on their business processes and deliverables.
What kind of payment structure do you follow to bill your clients? Is it Pay per Feature, Fixed Cost, Pay per Milestone (could be in phases, months, versions etc.)
We try to be flexible when we’re defining the pricing models with our clients. It can be fixed price, T&M, or managed delivery.
Do you take in projects which meet your basic budget requirement? If yes, what is the minimum requirement? If no, on what minimum budget you have worked for?
Budget isn’t the only factor we consider in our discussions with clients. We negotiate with many start-up initiatives that have the potential to grow into bigger and promising companies. We are flexible in terms of minimum budget, but 10K USD would be our bottom line from our experience.
What is the price range (min and max) of the projects that you catered to in 2020?
It’s not like in web or mobile development, where it is much easier to estimate the budgets. It is much complicated with AI projects, and we start to work on discovery and building a pilot model; after that, we split it into milestones and plan our next steps and budgets together with the client. Some stages can cost 10K USD or less, some stages are more expensive (100K-200K USD and above).
Where do you see your company in the next 10 years?
I see Data Science UA in the Top AI development companies globally and that our Data Science and AI community here in Ukraine will grow 5x or maybe even 10x.

Our ML engineers and data scientists have a strong technical and math background, and we continue to unite top AI talents with our educational events and international conferences.

Ukraine is very attractive in terms of R&D centers opening. We aim to help international companies open their AI R&D in Ukraine with our top data scientists and machine learning engineers.

Data Science UA Clients & Portfolios

Data collection and analysis tool
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Data collection and analysis tool
  • Data collection and analysis tool screenshot 1
Not Disclosed
47 weeks
Enterprise

Data Science UA is building a client-facing product for a Big Four company in the HR domain.

The client’s goal is to develop a client-facing data collection and analysis web tool that will provide HR professionals with the latest market analytics, industry trends, and recommendations on the future development of HR function in their companies.

Current stage: web tool development (stage 1 out of 3).

The infrastructure used: MS Azure Stack

Main goals:

- Ensure continuous availability of data collection system and data analysis results;

- Improve customer experience and the level of satisfaction by providing easy-to-use service;

- Increase customer satisfaction and brand value by implementing modern service delivery solutions;

- Reduce employees involvement in data collection, processing, and analysis and thus minimize losses and free up resources;

- Improve employees effectiveness and increase their involvement with more projects and clients, and therefore make scaling possible;

- Use historical data for predictive and prescriptive analytics building personalized recommendations.

Recommendation system and clients churn prediction management
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Recommendation system and clients churn prediction management
  • Recommendation system and clients churn prediction management screenshot 1
Not Disclosed
4 weeks
Retail

Our client is the largest national retail chain of beauty and health stores, offering more than 30,000 assortment items. It has more than 1000 stores operating throughout Ukraine. The client’s goal was to up-sell and cross-sell goods through a recommendation system and to make the realization of clients’ churn prediction modeling.

During the collaboration with Data Science UA the client achieved x2 improvement of key metric - Baseline model (recommending only the most popular SKUs) had MAP@10 = 0.03. This means that out of 10 suggested SKUs client is likely to buy 3. Our model had MAP@10 = 0.07. This means that out of 10 suggested SKUs client is likely to buy 7.

Architecture that was used – LSTM (neural network).

ML Model creation
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ML Model creation
  • ML Model creation screenshot 1
Not Disclosed
5 weeks
Financial & Payments

The client's global mobile banking app puts bill payment, banking, credit, investments all in one single platform. It connects to users' existing bank accounts, allows the user to pay all bills from one place. The main task for Data Science UA was to create and use an ML model for the classification of all transactions. So you as a user have an access to the necessary tools to stay on track with your financial goals in a cost-efficient way. Users can pay their bills and track important financial milestones through one integrated experience.​

Data Science UA Reviews

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Oleksandr Romanko

Data Science UA builds an ecosystem around Data Science and AI in Ukraine and worldwide

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We organized a number of educational events, courses and meetups together with Data Science UA. The company provides consulting services in AI, opens AI R&D centers for companies, and builds an ecosystem around Data Science, ML and AI in Ukraine and worldwide. Collaboration with Data Science UA was highly beneficial.

What service was provided as part of the project?

Artificial Intelligence

Ksenia Prozhogina

Great Cooperation & very effective communication

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In Progress

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I am VP of People at 3DLOOK, a rapidly growing startup that is providing a new level of a customized approach to the apparel and uniform manufacturers and online shoppers, using patented AI technology combined with 3D, CV, ML.
As of rapid growth of product last year we required new talented team members within the Data Science department to develop our solutions within the set deadline and customer requirements.
Data Science UA is the most known and popular hiring agency in Ukraine to widen the Data Science team in short terms without quality loss. We provided the company with the main requirements for the potential candidates, discussed additional details, then the company started the search, so we had weekly calls to discuss and check the main lists of proposed candidates.
During our collaboration, we've widened our Data Science team with 5 new employees with the company's active assistance.

What was the project name that you have worked with Data Science UA?

Cooperation

What service was provided as part of the project?

Other Services, Artificial Intelligence

Ievgen Shevchenko

Recruitment service

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I am Operations Director at Captify, programatic advertising company. Captify’s pioneering Programmatic Search Intelligence (PSI) uniquely fuses multi-channel media with Search Intelligence, solving the lack of consumer intent and recency of data available in the Programmatic ecosystem.
Data Science was the first company we started working with ~4 years ago and I could say only positive words. Individual approach for candidate search, market analysis with quick and appropriate response on changes. DS UA is covering process whole process of communication with candidate and in some cases offer's management. They helped us to build many teams with different tech skill sets and as a result give us ability work in the most efficient way

What service was provided as part of the project?

Artificial Intelligence

Barrel Fischer

Sales forecasting algorithms for eCommerce Company.

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Project Detail

$10001 to $50000

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I am the head of the IT engineering department at an e-commerce company. Our goal was to improve key indicators. Sales forecasting algorithms look for patterns in these data. The identified patterns are further used to assess the general trends of the deals to build forecasts with a high level of accuracy. Data Science UA managed to implement everything correctly. We prepared a high-level requirements paper outlining the required results, and Data Science UA responded with a response to help us uncover our ideas. They quickly got us a working prototype and helped to integrate it to a final solution.

What service was provided as part of the project?

Artificial Intelligence

Bogdan Kowalski

Real-time drilling data logging.

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Project Detail

$50001 to $200000

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We're an oil and gas company. I'm a Head of IT department.
We aim to maximize production and profits using innovative software and data collection and analysis.
Data Science UA helped to allow drilling data to be recorded properly & analyzed in real-time. It also includes a wide range of data about environmental conditions such as temperature, oil reserve levels, and equipment performance or status. Managing this data and using it as a strategic asset significantly impacts the financial performance of the company. Data Science UA helped us analyze historical and real-time images & data collected from databases, satellites, drones, IoT sensors etc. This data now helps us a lot, they also helped with the visualization so that the information can be displayed through an interactive online dashboard.

What service was provided as part of the project?

Artificial Intelligence