Senior Data Scientist

Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Insurance Technology, Insurtech, SaaSIndustries

Requirements

Candidates should possess an advanced degree (MS/PhD) in Data Science, Statistics, or a related scientific field. Experience in designing and executing experiments, applying hypothesis testing and causal inference, and building predictive models is required. Familiarity with A/B testing and statistical modeling is essential.

Responsibilities

The Senior Data Scientist will establish the statistical foundation for AI and analytics, design and execute experiments, and ensure models solve business problems. Responsibilities include reviewing statistical methods, overseeing production model performance, leading exploratory analysis, building predictive models, and partnering with stakeholders to translate business questions into data-driven solutions.

Skills

Data Science

Machine Learning

Data Analysis

Python

SQL

Cloud Platforms

Statistical Modeling

Problem Solving

Communication

Quadric

Simplifies SoC design for machine learning

About Quadric

Quadric focuses on simplifying the design and programming of System on Chips (SoCs) specifically for machine learning applications. Their main product is the Chimera, a General-Purpose Neural Processing Unit (GPNPU) that combines matrix and vector operations with scalar control code in a single execution pipeline. This design allows developers to avoid splitting application code across different processors, making the development process more efficient. Quadric serves clients in the semiconductor industry, including SoC developers and manufacturers, who need to improve their machine learning capabilities. Unlike competitors, Quadric offers a comprehensive solution that includes both hardware and software tools, such as the Chimera LLVM C Compiler and the Chimera Instruction Set Simulator, enabling developers to design, simulate, and deploy their applications effectively. The goal of Quadric is to enhance the performance and ease of development for machine learning applications on SoCs.

Burlingame, CaliforniaHeadquarters

2017Year Founded

$42.1MTotal Funding

DEBTCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Risks

Increased competition from established semiconductor companies threatens market share.

Rapid AI advancements may outpace Quadric's current product offerings.

Potential IP disputes could lead to costly legal battles.

Differentiation

Chimera GPNPU integrates matrix, vector, and scalar operations in one pipeline.

Quadric's GPNPU runs C code, enhancing versatility for neural network operations.

Quadric offers a unified architecture for ML inference and C++ processing.

Upsides

Quadric's Series B funding boosts expansion of engineering and commercial teams.

Partnership with Ams Osram enhances smart sensing solutions for edge applications.

Quadric Developer Studio simplifies AI and ML application development.

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