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Full-Time

Staff Data Scientist

Confirmed live in the last 24 hours

Collibra

Collibra

1,001-5,000 employees

Data governance and management platform

Data & Analytics
Consulting
Enterprise Software
AI & Machine Learning

Compensation Overview

$168k - $200kAnnually

+ Equity Ownership + Bonus Potential + Flex Fund Stipend + Pension/401k Plans

Senior, Expert

Raleigh, NC, USA

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
Data Structures & Algorithms
SQL
Requirements
  • 7+ years of experience performing data and AI/ML projects related to business functions incorporating advanced techniques. Experience in NLP, and neural networks, is preferred
  • Proficiency in Python and associated Data Science modules for efficient solution development.
  • Educational background in Artificial Intelligence, Data Science, Mathematics, or related fields.
  • Experience with mathematical principles driving Generative AI technologies; experience being part of building an LLM application
  • Experienced with SQL, relational databases, and query authoring.
  • A bachelor’s degree or equivalent related working experience is required
  • This position is not eligible for visa sponsorship.
Responsibilities
  • Monitoring the AI/ML landscape, staying abreast of new techniques and algorithms.
  • Translating academic concepts into pragmatic solutions addressing specific business needs.
  • Developing, operationalizing, and supporting AI/ML models to drive actionable insights.
  • Evaluating algorithmic results for quality, adaptability, and efficiency.
  • Contributing to the evolution of Collibra's AI and ML platforms to enhance data products.

Collibra provides a platform that helps organizations manage and govern their data effectively. It serves large enterprises in various industries, including finance, healthcare, retail, and technology. The platform is designed for data professionals, such as data stewards and analysts, to ensure data quality, compliance, and accessibility. Collibra offers tools for data discovery, data lineage, and metadata management, which help organizations track the origin and movement of data and maintain high data quality. The company operates on a subscription-based model, allowing clients to access its software as a service (SaaS) over the internet. Collibra's platform integrates with other data management tools, providing a centralized solution for complex data environments. The goal of Collibra is to empower organizations to make informed, data-driven decisions by ensuring their data is accurate, accessible, and secure.

Company Stage

Series G

Total Funding

$596.5M

Headquarters

New York City, New York

Founded

2008

Growth & Insights
Headcount

6 month growth

-4%

1 year growth

-11%

2 year growth

-20%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collibra's listing in the AWS ICMP for the US federal government opens up significant opportunities in the public sector.
  • Winning multiple awards, including the Snowflake Data Cloud Product Data Governance Partner of the Year, highlights Collibra's industry recognition and credibility.
  • The launch of Collibra AI and Data Notebook demonstrates the company's commitment to innovation and addressing emerging challenges in AI governance.

What critics are saying

  • The competitive landscape in data governance and management is intense, with major players like Microsoft, Oracle, and SAP posing significant threats.
  • Rapid expansion and continuous innovation may strain resources and lead to potential integration challenges.

What makes Collibra unique

  • Collibra's platform offers a comprehensive suite of tools for data governance, quality, and compliance, setting it apart from competitors who may focus on only one or two aspects.
  • The seamless integration with other data management tools provides a unified view of an organization's data landscape, enhancing its value proposition.
  • Collibra's focus on AI governance, as evidenced by partnerships with UCLA Health and Google Cloud, positions it as a leader in responsible AI data management.