Our Geography
Headquartered in the US and operating internationally, our team drives digital transformation for businesses globally. We ensure on-site presence to deliver services to our major target markets in:
North America
Office locations: USA, Mexico
Number of clients: 590+
Europe and the UK
Office locations: Finland, Latvia, Poland
Number of clients: 540+
The Gulf
Office locations: KSA, UAE
Number of clients: 50+
Warsaw, Poland
Riyadh, Kingdom of Saudi Arabia
Fujairah, United Arab Emirates
ScienceSoft’s Path to Data Technology Proficiency
What Our Clients Say
Project Management Practices to Drive Data Initiatives to Success
ScienceSoft’s mission is to achieve project success regardless of time and budget constraints as well as change requests. To stay true to our word, we follow project management practices developed and refined by our in-house PMO. Our mission is backed up by ethical conduct that we maintain with our clients, business partners, and employees.
Our practices for project success measurement, reporting, documentation, and knowledge sharing allow us to collaborate in an environment of transparency and accountability and minimize the risk of data loss.
We conduct in-depth interviews with your stakeholders at different organizational levels to elicit complete solution requirements and account for every unvoiced need and hidden constraint when determining the project scope and milestones.
Remaining open to changes in project direction and priorities, we analyze the feasibility of each change request to minimize scope creep and stay within the allocated budget and timelines.
Quote accuracy and transparency are fundamental to our cost estimation practices. We share detailed breakdowns of what goes into your project cost, always seek to optimize project budget, and do not manipulate estimates to make them more attractive.
With an established process for resource selection and allocation and an extensive pool of in-house talents, it takes us an average of three days to select specialists with skills and seniority levels that fit your project complexity, budget, and other unique requirements.
We continuously identify and monitor project risks and immediately respond to new threats following our risk mitigation practices.
Highlights of Our Expertise
- Since 1989 in data analytics, data science, and AI.
- Since 2003 in cybersecurity.
- Since 2005 in BI and data warehousing services.
- Since 2013 in big data.
- Microsoft partner since 2008 and AWS Select Tier partner since 2017.
- Hands-on experience with HIPAA, GDPR, PCI DSS, CCPA, and other data privacy and protection regulations.
- Quality and security management systems backed by ISO 9001, ISO 13485, and ISO 27001.
Industries We Serve
Having practical experience in 30+ industries, we give special attention to the domains listed below.
Techs and Tools We Use in Data Projects
Cloud data storage
- Microsoft Fabric
- Azure Cosmos DB
- Azure Blob Storage
- Azure Data Lake
- Amazon DynamoDB
- Amazon S3
- Amazon RDS
- Amazon Redshift
- Amazon DocumentDB
- Amazon Keyspaces
- MongoDB
Data warehouse technologies
- Microsoft SQL Server
- Microsoft Fabric
- Azure Synapse Analytics
- Amazon Redshift
- Amazon RDS
- Amazon Aurora
- Google BigQuery
- Oracle Autonomous Data Warehouse
- Snowflake
- PostgreSQL
- Teradata
Data integration
- SQL Server Integration Services
- Microsoft Fabric
- Azure Data Factory
- Apache Kafka
- Apache Airflow
- Talend
- Oracle Data Integrator
- Matillion
- Azkaban
- Informatica
- Panoply
- Apache NiFi
- IBM InfoSphere DataStage
Data visualization
- Power BI
- Microsoft Fabric
- Microsoft SQL Server
- Microsoft Excel
- Google Developers Charts
- Tableau
- Grafana
- Chartist.js
- FusionCharts
- DataWrapper
- Infogram
- ChartBlocks
- D3.js
- Oracle Business Intelligence
- MicroStrategy
- QlikView
- Sisense
- Kyubit Business Intelligence
Big data
- Apache Hadoop
- Apache Spark
- Apache Cassandra
- Apache Kafka
- Apache Hive
- Apache ZooKeeper
- Apache HBase
- Azure Cosmos DB
- Amazon Redshift
- Amazon DynamoDB
- MongoDB
- Google Cloud Datastore
Machine learning platforms and services
- Azure Machine Learning
- Azure Cognitive Services
- Microsoft Bot Framework
- Amazon SageMaker AI
- Amazon Transcribe
- Amazon Lex
- Amazon Polly
- Google Cloud AI Platform
- Apache Mahout
- Apache MXNet
- Caffe
- TensorFlow
- Keras
- Torch
- OpenCV
- Apache Spark MLlib
- Theano
- Scikit Learn
- Gensim
- SpaCy
Cloud services
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
Security and governance tools
- Apache Airflow
- Talend
- Informatica
- Zaloni Arena
- Apache ZooKeeper
- Azkaban
- AWS Cloud Security services
- Azure Security services