How AI Staff Augmentation Builds Python Skills Instantly
Data Science Staff Augmentation
Address Your Data Science Challenges With Staff Augmentation Services
Our team can easily integrate with your in-house team, offering exceptional data science staff augmentation services. Serving companies in the US and Europe, we help you deliver projects efficiently and effectively. Poland is a global leader in tech talent and Polish Data Scientists and ML Engineers consistently rank among the best on Kaggle. Take advantage of this gold mine of expertise and drive your data science projects forward with Algomine.
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Professional Data Science Team in your organization
Experienced professionals available at hand
to instill Data Science and Gen AI in your company.
Building a Data Science or Gen AI team with the right mix of roles can be challenging and time-consuming. To boost the whole process, we enable access to a diverse set of proven Talents with expertise in the following roles and technologies:
01
DATA SCIENTISTS & ML/AI ENGINEERS
Role:
These individuals are experts in ML, applied statistics, deep learning, computer vision, and NLP. Their role focuses on identifying data patterns and trends, then building ML models to address specific business challenges. They possess expertise in cloud architecture, ML frameworks, and DevOps practices to deploy robust and effective AI-driven applications.
Technology expertise:
Proficiency in programing Python with familiarity in libraries like TensorFlow, PyTorch, Langchain , Streamlit
Databricks and knowledge of distributed computing frameworks (Spark)
Azure: Machine Learning, Cognitive Services, Data Factory, OpenAI
AWS: SageMaker, EC2, S3, Lambda
SAS: Base, Enterprise Guide, Miner, Viya
02
MLOps & DevOps
Role:
The role focuses on creating data and ML pipelines used to continuously deploy and re-train models developed by data scientists. MLOps engineers deploy models in production, monitor their performance, manage model versions, and debug issues.
Technology expertise:
Infrastructure as Code: Terraform, CloudFormation
Container orchestration: Kubernetes, Docker
Monitoring: Prometheus, Grafana, ELK Stack,
Automated pipeline: Jenkins/GitLab
Platforms: Azure, AWS, SAS Viya
03
DATA ENGINEERS
Role:
Data engineers are responsible for building data pipelines, cleaning, processing, and converting raw data into information that can be interpreted by data scientists and data analysts.
Technology expertise:
Python, Spark, SQL, Scala, Java, 4GL
Kafka, Databricks, Snowflake, Airflow
Azure: Data Factory, Synapse, Data Lake, DevOps
AWS: S3, Redshift, Glue, Athena, DynamoDB
SAS: Data Integration Studio, Base, SAS Macro, SAS Management Console
04
BI DEVELOPERS
Role:
The role focuses on gathering end-user reporting requirements, verifying underlying data in databases and applications, and extracting data to create meaningful insights about business operations. These individuals go through, validate, sort, and synthesize information to produce impactful visual presentations that assist decision-makers.
Technology expertise:
Power BI, Tableau, SSAS, SSIS, SSRS
DAX, M (Power Query)
SQL for data querying and manipulation
Experience with row-level security and data gateway configuration
05
SAS EXPERTS
Role:
Looking specifically for SAS staff augmentation? We can provide you with certified SAS Consultants and SAS Technical Experts – each with unique skill sets to fit all your needs.
• SAS Developers & BI/Visualization Analysts
• SAS Data Scientists & Analysts
• SAS Data Warehouse, Integration & Data Quality
• SAS CI & FM Consultants
• SAS Administration & Installation Specialists
Technology expertise:
SAS Viya & SAS 9.4
SAS Data Management & Event Stream Processing
SAS Information Governance & Data Quality
SAS for Machine Learning & AI
SAS Visual Analytics & Business Intelligence
SAS Intelligent Decisioning
SAS Customer Intelligence 360
ENGAGEMENT MODELS
Team extension - managed by you
You control the development process by managing resources,
allocation, and planning. You are responsible for the results.
Dedicated team - managed by us
We control the development proces while you keep the focus on
building your business. We are responsible for the results.
WHY BUILD AN OFFSHORE DATA SCIENCE TEAM IN POLAND?
Highly Skilled Workforce
Poland is recognized for its tech talent in Data Science. With a strong pool of STEM graduates and a significant presence on Kaggle, the country has cultivated a talented pool of well-qualified professionals.
Cost-Effective Solution
Compared to other Western European or US locations, Poland offers more competitive pricing with excellent quality. This cost efficiency can make it an appealing destination for outsourcing.
Time Zone Alignment
For companies in Europe, Poland's time zones are aligned. For the US, this alignment allows a 16-hour working window to speed up development time.
Regulatory Compliance
Being part of the European Union, Poland adheres to strict regulations and standards, providing a secure legal framework for business collaboration.
AI/ML Reputation
With a reputation as one of the world leaders in Data Science, Poland has a track record of delivering innovative and high-quality solutions and stay at the forefront of technological advancements in these fields.
Cultural Compatibility
Poland shares many business practices and cultural values with other Western countries, reducing the potential friction that can occur in cross-cultural collaboration.
Strong English Proficiency
Many Polish professionals in the tech industry are proficient in English, making communication straightforward for international collaboration.
Robust Technology Infrastructure
Poland's investment in technology and infrastructure ensures a stable and efficient environment for conducting data science activities.
SUCCESS STORIES
hire scientists
and engineers
in 5 steps
and engineers
in 5 steps
01
Contact us
Send us short info about your needs.
02
Introduction
Let’s discuss your requirements with our experts.
03
Select CV
We share the CVs of our Talents who have the skill sets required for your project.
04
Interviews
Once you shortlist the CVs of engineers or scientists you wish to work with, we schedule the interview with them.
05
Hire Resources
An engineer who meets your requirements may be hired by you and work as part of your extended team.
We solve recent Data Science challenges
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Talent shortage
Poland is sitting on a gold mine of tech talent and is one of the world leaders in Data Science and Machine Learning, ranking 4th globally in STEM graduates, dominating Kaggle leaderboards regularly.
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Diverse skill sets
Access a versitile team of engineers tailored to your project's needs. If requirements change, you can scale up or down the team size at any time.
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Costs challenges
We expertly handle taxes, medical insurance, admin costs, sports reimbursements, English courses, events, modern offices, tech, recruitment expenses, and keep our team up-to-date with the latest advancements.
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Short deadlines
Our skilled team dives into projects from day one, swiftly delivering outstanding results and outshine the competition.
Access Data Science Talent in 48 hours
Discover our AI/ML expertise, understand our engagement process, and learn about our competitive rates. Let's talk.
