Data Scientist
San Jose, CA, United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingPresent exploratory findings to both, technical and management teams, verbally and in writing.
Partner with Product and Engineering teams to explore new opportunities.
From the employer’s posting
Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models. Present exploratory findings to both, technical and management teams, verbally and in writing. Partner with Product and Engineering teams to explore new opportunities.
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.
What you’ll bring
All qualificationsCore experience
- Strong knowledge of mathematics.
- Strong knowledge of machine learning and statistics.
- Strong knowledge of designing algorithms.
Preferred experience
- Strong knowledge of deep learning.
- Strong knowledge of reinforcement learning.
- Strong experience in Tensorflow or similar frameworks.
Qualification wording
Strong knowledge of mathematics.
Strong knowledge of machine learning and statistics.
Strong knowledge of designing algorithms.
Strong knowledge of deep learning.
Strong knowledge of reinforcement learning.
Strong experience in Tensorflow or similar frameworks.
Tools in this posting
- Python
- TensorFlow
- C++
Source — Tool mentions in context
- Strong knowledge of designing algorithms. - Some experience in Python and Tensorflow. Preferred qualifications:
- Strong knowledge of reinforcement learning. - Strong experience in Tensorflow or similar frameworks. - Working experience in C++.
- Strong experience in Tensorflow or similar frameworks. - Working experience in C++. Additional Information
Job description
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 in 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 unsupervised deep learning, reinforcement learning and bayesian models.
- 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
Minimum 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.
Company Description
Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. 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. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Jose, CA, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 3, 2026
- Recorded sightings
- 19
- Last seen by us
- Oct 7, 2026
- Employer says posted
- Oct 24, 2018
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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