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Crux is transforming how companies work with data. For years, data discovery, ingestion, and operations have been expensive, time-consuming, and frustrating for data teams looking to harness large quantities of data. We are solving this challenge by enabling enterprises with tools and operations services that facilitate the onboarding and delivery of any dataset to end customers how, and where, they want it. In our lingo, we’re ushering in the third generation of ETL with data mesh capabilities for enterprises.
We are one of the fastest growing technology companies, with a strong culture focused on learning, collaboration and open-mindedness. Founded in 2017 by a seasoned team of data professionals, Crux is backed by industry powerhouses, including Goldman Sachs, Morgan Stanley, and Two Sigma.
Crux is looking for a Data Scientist to join our data science team. This is a perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops algorithms for automated document processing, entity recognition, data curation, integration, and navigation and helps our clients to be more productive by allowing them to focus on what they do best. Your primary focus will be applying machine learning techniques, performing statistical analysis, and designing algorithms for automated curation and linkage of high-value datasets.
Responsibilities:
Develop a deep understanding of how Crux applies technology to make the data available to our clients
Research and develop machine learning models for automated curation and data dictionary unification
Develop and implement NLP solutions for entity recognition and matchingIncorporation of GenAI into existing ML pipelines
Collaborate with the data science team to facilitate the adoption of AI technologies
Keep up-to-date with the latest ML technology and data science trends
Qualifications:
Degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
1 to 2 years of experience or internship in a related filed.
Practical experience with machine learning with natural language processing, entity recognition algorithms, and scientific computational libraries
Strong background in data and statistical analysis
Good understanding of various data structures and common methods in data transformation
Experience with statistical programming languages such as Python
Familiarity with ETL, data processing, database programming, and data analytics
Our team brings together technology experts, industry veterans, and entrepreneurial builders connected by our common goal to build technology solutions that simplify major data bottlenecks.
Our compensation package includes equity and a highly competitive salary. We offer a flexible work environment with generous vacation, parental leave, team events/lunch stipend, comprehensive benefits, and more!
At Crux, diversity is valued and treatment of employees and applicants are based on merit, talent and qualification. We encourage people from underrepresented groups to apply. We believe the key to success is bringing together unique perspectives and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For qualified applicants with criminal histories, consideration will be consistent with the requirements of the San Francisco Fair Chance Ordinance. All your information will be kept confidential according to EEO guidelines.
*Crux will never hire through text message/social media/email alone.
Direct applicants only.
Recruiting agencies: Please do not email or call our team. We are not accepting agency candidates for any position at Crux.
