
Sigmaways Inc
A Sigmaways Inc CompanyDescription
Sigmaways Inc stands as one of the fastest-growing product engineering service providers in the technology sector, delivering innovative solutions since 2006. Based in Fremont, California, this privately-held company has established itself as a trusted partner for startups, enterprises, and major technology brands across North America, Europe, and Asia.
With a team of 51-200 dedicated professionals, Sigmaways specializes in full-lifecycle product engineering services spanning multiple industries including technology, e-commerce, retail, financial services, banking, and consumer products. The company's comprehensive approach encompasses talent acquisition, product development, and service delivery, enabling clients to accelerate their time-to-market and achieve competitive advantages.
Sigmaways has earned significant recognition for its rapid growth and excellence in service delivery. The company ranks #19 among fastest-growing private companies in Silicon Valley according to Silicon Valley Business Journal, #79 in the Bay Area per San Francisco Business Times, and #814 nationally by Inc Magazine. This recognition reflects the company's commitment to delivering best-in-class solutions through refined product engineering processes.
The company's expertise in IT services and consulting positions it at the forefront of technological innovation. Sigmaways collaborates closely with clients to understand their unique challenges and deliver customized solutions that drive business success. Their multi-award-winning approach combines technical excellence with strategic thinking, ensuring projects meet both immediate needs and long-term objectives.
For technology professionals seeking career growth, Sigmaways offers exposure to diverse industries and cutting-edge technologies. The company's client portfolio includes pioneering startups and established enterprises, providing employees with opportunities to work on varied, challenging projects. The collaborative work environment encourages innovation and professional development, making it an attractive destination for software engineers, product managers, consultants, and other technology professionals.
Sigmaways' commitment to excellence extends beyond client delivery to employee development and satisfaction. The company's sustained growth trajectory and industry recognition demonstrate its stability and potential for career advancement. As the technology landscape continues evolving, Sigmaways remains positioned to lead in product engineering services while providing meaningful career opportunities for talented professionals.
Jobs for Sigmaways Inc in United States
- Sigmaways Inc
Senior Data Scientist
San Francisco Bay Area6 hours ago5h6 hours ago - Sigmaways Inc
Senior Data Scientist
94501 Alameda, CA6 hours ago5h6 hours ago - Sigmaways Inc
Director Engineering
95053 Santa Clara, CA4 days ago4d4 days ago - Sigmaways Inc
Senior Data Scientist
94199 San Francisco, CA6 hours ago5h6 hours ago - Sigmaways Inc
Senior Data Scientist
95053 Santa Clara, CA6 hours ago5h6 hours ago - Sigmaways Inc
Senior Data Scientist
94557 Hayward, CA6 hours ago5h6 hours ago - Sigmaways Inc
Senior Data Scientist
95402 Santa Rosa, CA6 hours ago5h6 hours ago - Sigmaways Inc
Digital Product Manager
75215 Dallas, TX4 days ago4d4 days ago - Sigmaways Inc
Senior Data Scientist
94537 Fremont, CA6 hours ago5h6 hours ago - Sigmaways Inc
Senior Data Scientist
95199 San Jose, CA6 hours ago5h6 hours ago - Sigmaways Inc
Senior Data Scientist
94087 Sunnyvale, CA6 hours ago5h6 hours ago - Sigmaways Inc
Senior Data Scientist
95476 Sonoma, CA6 hours ago5h6 hours ago - Sigmaways Inc
Senior Data Scientist
94409 San Mateo, CA6 hours ago5h6 hours ago

- Description
As a Senior Data Scientist, you will play a key role in empowering consumers and creating business value by designing, developing, and deploying intelligent solutions across a diverse range of clients including Financial Institutions, FinTechs, SMEs, Large Enterprises, and Government Agencies. You will focus on delivering "Certainty as a Service" through explainable and trustworthy models in domains such as lending, financial decisioning, management, and payments.
- Key Responsibilities
- Design, develop, and deploy advanced machine learning and deep learning models for production use.
- Create consumable metrics, explainability frameworks, and confidence measures for decision-making solutions.
- Drive insights from complex and diverse datasets, including structured, unstructured, and time-series data.
- Work across Verification Services, Entity Resolution, Attribute & Temporal Analysis, and related platforms.
- Perform advanced error analysis, dimensionality reduction, and model interpretability assessments.
- Translate business problems into data science solutions in lending, credit scoring, and financial management.
- Collaborate with cross-functional teams to ensure successful deployment via Kubernetes, Docker, APIs, and event-driven architecture.
- Communicate findings clearly with both technical and non-technical stakeholders.
- Required Qualifications
- Master’s Degree or higher in Data Science, Computer Science, Information Systems, or a closely related field. A Ph.D. is preferred.
- 10+ years of commercial experience in Machine Learning / Deep Learning, including model development and deployment.
- Strong experience in Python for data science and software development.
Solid foundation in:
- Natural Language Understanding (NLU).
- Computer Vision.
- Statistical Modeling
- Data Visualization.
- Classical and Advanced ML methods.
- Experience in model interpretability and explainability.
- Demonstrated ability to solve novel problems in the financial domain.
- Strong experience with Kubernetes, Docker, REST APIs, GraphQL, and event streaming.
- Excellent written and verbal communication skills.
- Preferred Qualifications
- Exposure to credit risk modeling, risk evaluation, and financial decision systems.
- Experience in Finance or FinTech domains.
- Expertise in discrete, differential, deterministic, and probabilistic mathematical modeling.
- Advanced skills in Transformer models, Attention Mechanisms, PCA or other dimensionality reduction techniques.
- Strong background in Data Architecture, Query Optimization, and ML Ops.
- Familiarity with positive attribution techniques, decision science in lending, and attribute analysis.