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4IRE Data Science Developers
Anton Middle Data Analyst I am a mid-level data analyst with a track record of 2+ years in data analysis and machine learning. My industry expertise includes telecom projects, ETL process optimization, SQL query development, driving software, no-code platform design, and report-building automation. I can work on projects of any complexity due to my advanced skills in product segmentation, data parsing automation, and complex data validation.
Python MySQL PostgreSQL
Roman Strong Middle Data Analyst I am a strong middle data scientist with 5+ years of experience and industry expertise in retail and insurance. I possess profound data visualization and analytics skills and can process datasets of any complexity. Previously worked on ETL process automation and optimization, SQL data analysis, and market analytics for competitor analysis and in-depth client assessment. I can build robust predictive models to boost business growth based on strategic data insights.
MySQL Python
Yevheniia AI Developer I am a mid-level data analyst with 2+ years of industry experience and profound expertise in blockchain, FinTech, and retail sectors. I’m well-versed in machine learning algorithms and implement various approaches to solving complex business tasks with deep data analytics and processing. I worked with crypto, financial, and e-commerce datasets on various projects and can produce sentiment analysis and user-friendly data visualizations.
Python MySQL
Verokina Senior / Lead Data Engineer I am a senior level/Lead data engineer with 6+ years in the industry, with a specific focus on the FinTech domain. I am competent in scalable and resilient data pipeline design and can efficiently clean, organize, and aggregate large datasets of any complexity. My experience of technical writing, teaching, and mentorship (including Hackathon judgement) allows me to lead and organize teams for handling large-scale data science projects.
Python JavaScript MySQL PostgreSQL CSS
Vladyslava Senior Data Scientist / Data Analyst
I am a senior-level data scientist and data analyst with 3+ years of experience and a focus on retail projects. I am competent in large dataset automation, data exploration, and data availability validation. I perform data mining to assess project requirements’ feasibility and translate business goals into functional specifications. Experienced in promo campaign design and analysis of their outcomes, prototype development, data preparation process automation, and product roll-out for clients.
Python MySQL
Alexey Senior Data Scientist / Data Analyst
I am a senior-level data scientist/analyst with 3+ years of track record in the industry. I offer a deep understanding of big data, ETL processes, and data processing and visualization. Can offer the best-matching automation models and solutions in compliance with project goals and business requirements. Competent in AI/ML, statistical modeling, programming, and BI development.
Python MySQL PostgreSQL
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Want to hire Data Science Developers?
Who We Are
4IRE is a Swedish-Ukrainian collaborative agency specializing in innovative software development with a special focus on AI and data science. We have over a decade of solid market reputation and can help clients in any industry embrace the power of AI and big data for a major business boost. Our team emphasizes excellence and innovation in all development solutions, helping clients leverage their business potential and reach new heights in operations.
- 14Years in development & consulting
- 200+Finished projects
- 150+Specialists onboard
- 70%Annual company growth
- 7Country of location
- 13+Graduates finished our courses
Hiring and Engagement
Full-time Hiring
You can get a full team of AI developers and data scientists from 4IRE for a large-scale project requiring full staff commitment or get a full-time specialist to augment your team. Full-time employment guarantees exclusive focus on your project without dividing time and attention.
Part-Time Hiring
If you need to close only part-time tasks and need partial staff engagement, our AI specialists and data scientists can also help. Negotiate the amount of time your project requires, and our data science experts will embark on your project parallel with other client tasks.
Time & Material
This model is optimal for clients with small tasks not requiring full-time staff engagement due to its flexibility and cost-effectiveness. We can assign a data scientist to your tasks on an hourly basis, and you can pay as you go, covering only the number of hours spent on your project.
How to start hiring
Requirements Gathering
We discuss the project with the client to identify its technical requirements and technology needs. At this stage, we can verify the availability of needed tech expertise and make preliminary estimates of work hours based on the general project idea and your expectations.
Research and Planning
The next stage involves more detailed market and technology research on your project to plan the breakdown of costs and human resources needed for your project’s implementation. It’s a more concrete step that ends with budget and deadline roadmap planning.
Development Stage
If you’re okay with our provided estimates, it’s time to compile a team and get down to the actual coding. We offer candidates, you approve the final team composition, and the dedicated team works under our close guidance to deliver the project to you.
Testing Phase
Once the dev work is over, we undertake extensive QA testing of the resulting product. Our experts run a series of automated and manual checks, review the code logic, and analyze the code’s cybersecurity before the final project submission.
FAQ
Data science experts can change the whole way data is treated in your organization and help you derive valuable business insights from business data. Greater structure and control over the collected data can inform predictive modelling and make your estimates and predictions more accurate, thus driving your business growth and performance.
The workflow of hiring a data scientist at 4IRE mostly looks as follows: you contact our managers and communicate your staffing needs, giving us time to assess the project requirements. Next, we find CVs of developers with a relevant tech stack and propose them to you for review. You interview the candidates and make a job offer to those who match your needs. We can scale the data science team up or down depending on the changing project needs and requirements; you can also ask for the specialist’s replacement if you see they don’t cope with the task.
Yes, our data science and AI team includes seasoned experts with many years of industry experience and in-depth expertise in analytics and big data management. One of our star team members used to lead a team of 40 data scientists at Barclays Bank, and the rest of the data scientists in the team also possess extensive knowledge and a broad set of skills in this professional area.
Sure, all our data science experts and AI analysts are skilled at data visualization and reporting to simplify the process of communicating data insights to clients. We can build user-friendly dashboards, charts, diagrams, and reports to inform you about the status of your business processes, key identified patterns and trends, and recommendations for translating this data into business decisions.
Yes, all experts in the 4IRE team are adequately qualified in AI/ML techniques and can create predictive models based on your business data, no matter how unstructured or siloed it initially seems. We can develop custom-tailored ML algorithms to tackle your business data of specific types and design the system for decision-making using ML insights and results.
The rates for data science experts vary wildly across the globe and depend on many parameters. On average, be ready to pay from $35 per hour to $200 per hour for this type of development task. If you turn to popular freelance platforms like Upwork, the cost of data science services ranges from $25 to $50 per hour there, while the rates at an agency will naturally be higher. Talk to our manager today to determine the quote based on your staffing requirements and project specifics.
The first point of contact is a meeting with our CTO, at which you can discuss your staffing needs and explain the specifics of your project. Based on that input, our managers can offer an optimal collaboration model and find the data science talent matching your requirements. You should review the candidate CVs, hold interviews with suitable candidates, and then move on to hire one of them.