Our Service

Expertise

We specialize in Data Science, Machine Learning, and Data Engineering.

Machine Learning

Factored machine learning engineers have advanced modeling skills and strong engineering foundations. They develop ML models for deployment, serving, monitoring, and inference. They are proficient in data pipelines, ML algorithms, error analysis, and building tools to support other ML engineers and data scientists. Many specialize in MLOps, DevOps, infrastructure, and production-ready deployments for ML models. They are experts in building pipelines for automatic model training, model rollback, monitoring and versioning, maintaining CI/CD workflows, designing and implementing strategies for model monitoring and observability, and ensuring high availability and reliability of deployed solutions.

Capabilities

ML Modeling
Natural Language Processing (NLP)
Tabular Data

Time Series
Machine Learning Operations (MLOPs)
Supervised Learning

Unsupervised Learning
Reinforcement Learning
Computer Vision
Algorithmic Coding

Data Engineering

Factored data engineers are responsible for the end-to-end development, deployment, maintenance, and optimization of data infrastructure, from raw data source consumption to data delivery for different types of users, including data analysts, data scientists, and stakeholders from other departments. Our engineers have top-tier know-how in building data lakes and warehouses and continuously optimizing their performance. They also develop data pipelines and perform full ETLs and ELTs based on user needs, working with large datasets, parallel computing, and batch and real-time data processing. Additionally, they build and manage entire pipeline orchestration and implement custom data integrations from specific business requirements.

Capabilities

Data Architecture
Data Storage & Modeling
Data Processing

Orchestration
DataOps
SQL

Data Analytics

Factored has a pool of exceptional data analysts: their technical and soft skills make them leaders in the field. Factored data analysts can solve complex business problems, deliver insights from data to uncover opportunities, and detect patterns and trends to support business decisions. They work closely with domain experts and different stakeholders to understand critical business metrics, possess critical thinking skills, are detail-oriented, and are naturally curious to explore and discover insights hidden within data. Lastly, they are proficient in tools such as Python, R, Tableau, and PowerBI, and they have a passion for learning and staying updated with the latest advancements in the field, which helps them deliver innovative solutions and maintain competitiveness.

Capabilities

Business intelligence
Dashboard design
Strategic Analytics

Statistical Thinking
ELT or ETL Transformation pipelines
Data Cataloging and Data Discovery
Data Governance

Data Science

Factored has a pool of elite data scientists proficient in exploring different types of datasets to identify patterns, extract actionable insights, and drive informed business decisions. Our data scientists can collect, transform, wrangle, and analyze large amounts of data. Considering current business processes and available data, we can research, propose, and implement descriptive and predictive models to address complex business challenges. Our data scientists design and implement hypothesis-testing strategies to validate the model’s viability and performance based on business KPIs and can also generate transformations or implement new features for statistical analyses and prescriptive models.

Capabilities

Statistical Analysis
Programming
Data Manipulation and Cleaning
Machine Learning & Data Mining

Data Visualization
Domain Knowledge & Business Acumen
Communication Skills

Analytics Engineering

Factored analytics engineers possess a combination of solid analytics and business acumen with working data engineering knowledge. They leverage the systems created by data engineers to design and implement the transformation steps of an ELT pipeline that caters to customized and directed data consumption. Our analytics engineers begin by performing basic data validation at the start of the pipeline, considering the business and data needs. They write modular data transformations in clean, testable code and follow CI/CD and version control best practices. They ensure the data is ready to be consumed by writing business-aware tests at the end of the pipeline using frameworks like Great Expectations. Factored analytics engineers also manage the data catalog by documenting data transforming pipelines, writing field definitions, and documenting tests that ensure data accuracy.

Capabilities

Data Integration & Transformation
Database Querying
Data Storage
Analytics Tools

Data Visualization
Data Documentation
Collaboration and Communication