Machine Learning Data Science Engineer

Location: San Jose, United States of America

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

This is a hybrid role in San Jose, California. Minimum 3 days at the San Jose offices.

Position Summary

A Machine Learning (ML) Data Science Engineer holding this position contributes to and influences the design of new features, continuously keeps abreast of features being rolled out in major new releases on Linux and Windows and works in the area of machine learning and data science, NLP, anomaly detection, data discovery, and classification for cloud security. This position will contribute to the new product development and enhancements to existing products that are called for while addressing customer requirements, keeping up with technology advances, achieving established product quality goals, and meeting time-to-market requirements.

Key Areas of Responsibility

•Design and train machine-learning models for data discovery, classification and correlation.
•Design and implement prediction interface for pre-trained models across platforms.
•Design and implement trainable models and training workflows.
•Data mining using state-of-the-art methods.
•Enhancing data collection procedures to include information that is relevant for building analytic systems
•Processing, cleansing, and verifying the integrity of data used for analysis
•Work with the system test team to define test plans, troubleshoot and resolve software defects.
•Perform research of relevant standards (e.g. data classification, data governance, UEBA) and technologies (such as NER, federated learning, knowledge graph) and design products that integrate seamlessly into the emerging ecosystems and conform to standards.

Basic Qualifications

•BS Statistics, Mathematics, Computer Science, or equivalent
•5+ years of industry experience with data science
•Hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural networks, support vector machines, anomaly detection, and natural language processing.
•Expertise in modern advanced analytical tools and programming languages such as Python, Scala, and/or Java.
•Experienced in SQL, Hive, SparkSQL, etc. Java and Scala programming experience a plus.
•Experience with building end-to-end reusable pipelines from data acquisition to model output delivery.
•Knowledge and passion for solid software engineering practices, release processes and project life cycles.
•Excellent communications skills, both verbal and written. Must be able to write clear functional specifications and design documents and engage with customers on technical discussions.
•Self-directed; requires minimal supervision on work products
•Strong team player. Willingness to proactively interact with the team and achieve results in a dynamic small company environment

The following education/experience qualifications would be favorable:

•MS in Statistics, Mathematics, Computer Science, or equivalent fields.
•Innovative thinker in all areas of system design and debugging.
•Proven ability to initiate original and creative technical efforts.
•Ability to multitask, and work effectively in fast paced environment.
•Familiarity with security software is a plus

What We Offer

The anticipated TTC range for this role is $107,886.50 - 207,030.00 USD Annual. The Company reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's status protected by local, state, or federal law.

Thales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following:

Elective Health and Dental plans.
Retirement Savings Plan with a company contribution and a match, and without vesting period.
Company paid holidays, vacation days, and paid sick leave.
Company provided Life Insurance.

Why Join Us?

Say HI and learn more about working at Thales click here

#LI-hybrid
#LI-WM1

This position will require successfully completing a post-offer background check. Qualified candidates with [a] criminal history will be considered and are not automatically disqualified, consistent with federal law, state law, and local ordinances.

Successful applicant must comply with federal contractor vaccine mandate requirements.

Thales champions inclusion and we believe diversity strengthens the fabric of our culture. We are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

If you need an accommodation or assistance in order to apply for a position with Thales, please contact us at View email address on click.appcast.io.