Data Science Consulting Services
Data science services include data science consulting, development and support to enable companies to run experiments on their data in search of business insights. Since 1989, ScienceSoft has been applying data science in its different forms ranging from statistics to machine learning (including its most recent technique – deep learning) to meet the most deliberate analytics needs of our clients.
Use Cases We Cover with Our Data Science Services
Optimizing process performance due to detecting deviations and undesirable patterns and their root-cause analysis, performance prediction and forecasting.
Supply chain management
Optimizing supply chain management with reliable demand predictions, inventory optimization recommendations, supplier- and risk assessment.
Proactively identifying the production process deviations affecting product quality and production process disruptions.
Monitoring machinery, identifying and reporting on patterns leading to pre-failure and failure states.
Customer experience personalization
Identifying customer behavior patterns and performing customer segmentation to build recommendation engines, design personalized services, etc.
Identifying potential churners by building predictions based on customers’ behavior.
Sales process optimization
Advanced lead and opportunity scoring, next-step sales recommendations, alerting on negative customer sentiments, etc.
Financial risk management
Forecasting project earnings, evaluating financial risks, assessing a prospect’s creditworthiness.
Patient treatment optimization
Identifying at-risk patients, enabling personalized medical treatment, predicting possible symptom development, etc.
Minimizing human error with automated visual inspection, facial or emotion recognition, grading, and counting.
What Our Data Science Services Include
Business needs analysis.
- Outlining business objectives to meet with data science.
- Defining issues with the existing data science solution (if any).
- Deciding on data science deliverables.
- Determining data source for data science.
- Data collection, transformation and cleansing.
Machine learning (ML) model design and development.
- Choice of the optimal data science techniques and methods.
- Defining the criteria for the future ML model(s) evaluation.
- ML model development, training, testing and deployment.
ML model evaluation and tuning.
Delivering data science output in an agreed format.
- Data science insights ready for business use in the form of reports and dashboards.
- Custom ML-driven app for self-service use (optional).
- ML model integration into other applications (optional).
User & admin training, data science support consultations.
Cooperation Models We Offer
Data science solution implementation
Do you consider building a data science solution in your company, but lack needed experience and resources? ScienceSoft is ready to implement its best practices to ensure a smoothly functioning data science solution that suits your business needs.
Data science improvement consulting
If you’ve encountered a problem (e.g., noisy or dirty data, inaccurate predictions, etc.) in your data science project, we can serve as your think tank to help you figure out how to make your data science solution work as expected and bring the desired ROI.
Data science ongoing consulting and support
If you seek continuous support and evolution of your data science initiative, our team will closely cooperate with your subject matter experts and implementation team to provide ongoing recommendations and ensure the models’ continuous improvement. This will increase the quality of insights and help adjust the models to the changing environment.
Data science as a service (DSaaS)
Getting advanced data analytics insights derived with data science technologies or enhancing the existing data science initiatives without investing in in-house data science competencies.
Methods and Technologies we use
To get to the valuable insights that your data hides, we apply both proven statistical methods and elaborate machine learning algorithms, including such intricate techniques as deep neural networks with 10+ hidden layers.
Neural networks, including deep learning
Related Data Science Services We Offer
Advising on and developing ML-power solutions to help companies find hidden patterns in massive amount of data to enable accurate predictions and forecasting, root-cause analysis, automated visual inspection, etc.
Big data consulting, implementation, support, and big data as a service to help companies store and process big data in real-time as well as retrieve advance analytics insights out of huge datasets.
Designing and developing custom image analysis software.
Retrieving valuable insights out of large, heterogeneous and constantly changing data sets without investing in an in-house data mining talents.