Data Scientist

Quantiply Corporation; San Jose (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Quantiply Corporation is looking for a skilled AI and Machine Learning expert to join their innovative Cognitive Intelligence team in San Jose, California. This role involves solving complex problems in the financial services sector using advanced machine learning techniques.

The successful candidate will have a PhD in a relevant field and a strong knowledge of machine learning, algorithms, and programming languages like Python and TensorFlow. Join us to make a significant impact within a fast-growing startup environment.

Qualifications

• PhD in machine learning, statistics, or related technical field.
• Strong knowledge of mathematics and statistics.
• Familiar with Python and TensorFlow.

Responsibilities

• Designing and implementing deep learning and reinforcement learning models.
• Present findings to technical and management teams.
• Collaborate with Product and Engineering teams.

Skills

Machine learning

Statistics

Algorithms design

Python

TensorFlow

Education

PhD in a technical field

Tools

C++

Job description

Quantiply’s Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions.

Job Description

In this role, you will be part of a brand new, trend setting Cognitive Intelligence team which is applying Machine learning and AI to solve complex, business critical problems in the financial services industries.

This position within the Cognitive Intelligence team presents a unique and rare opportunity to get on the ground floor within a fast-growing business and help shape the technology, product, and business. As a real-time transactional intelligence service, our solutions have to be scalable, secure, efficient, and extremely fault-tolerant.

A successful candidate will bring: deep technical and software expertise; ability to define visionary, ground breaking products; desire to have an industry-wide impact; and an ability to work within a fast moving, startup environment to rapidly deliver services that drive broad business impact.

Responsibilities:

• Apply your expertise in designing, implementing and validating unsuperviseddeep learning, reinforcement learning and bayesianmodels.
• Present exploratory findings to both, technical and management teams, verbally and in writing.
• Partner with Product and Engineering teams to explore new opportunities.
• Engage in collaborating across team members to meet research and product goals.
• Influence product features and product roadmap through exploratory analysis.

Qualifications

• PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field.
• Strong knowledge of mathematics.
• Strong knowledge of machine learning and statistics.
• Strong knowledge of designing algorithms.
• Some experience in Python and Tensorflow.

Preferred qualifications:

• Strong knowledge of deep learning.
• Strong knowledge of reinforcement learning.
• Strong experience in Tensorflow or similar frameworks.
• Working experience in C++.

Additional Information

All your information will be kept confidential according to EEO guidelines.