Data Science Engineer

Posted 15 Days Ago
Be an Early Applicant
Hiring Remotely in Poland
Remote
Mid level
Information Technology • Machine Learning • Software • Conversational AI • Generative AI • Manufacturing
Enabling Digital Transformation in Engineering Organizations
The Role
As a Data Science Engineer at Accuris, you will develop and maintain data processing pipelines for parsing and analyzing unstructured content. Your role will involve designing and optimizing machine learning models, managing MLOps functions, and collaborating with teams to enhance the solutions. The focus will be on integrating these solutions into existing products and improving the retrieval and analysis of engineering data.
Summary Generated by Built In

About us: Accuris, a company long-known for accelerating innovation in engineering workflows and supporting the vibrancy of the engineering community, launched in May 2023 as a standalone company. Accuris was formerly known as S&P Global's Engineering Solutions division. The Company is valued for its standards content and workflow solutions like Engineering Workbench, Goldfire, Haystack and Parts Management Solutions.
Under its previous owners, including S&P Global, IHS and IHS Markit, Accuris has been an integral part of the engineering ecosystem for more than 60 years.
The Role: Software Engineer / Data Science (Python)
Project & Team:
Join our R&D team in developing the Core Intelligence platform, an integral part of Accuris products - Engineering Workbench, Goldfire and Parts Intelligence. Our mission is to drive digital transformation in engineering organizations by unlocking valuable insights from the unstructured content of corporate repositories and industry sources, seamlessly integrating them into daily engineering workflows. Our solutions serve over 7,500+companies, empowering engineers and knowledge workers with cutting-edge tools and industry content from 450+ Standards Development Organizations. The project focuses on creating intelligent mechanisms for the extraction, decomposition, analysis, and retrieval of relevant engineering data, utilizing advanced Machine Learning and Deep Learning models within a scalable and optimized cloud infrastructure.
The Impact:
This role is critical for enhancing, developing new features, and maintaining of an existing in-house developed solution for decomposition and structural parsing of documents in PDF, scans, MS Office, and other formats, including intelligent processing with ML models and specialized Natural Language Processing and Computer Vision algorithms. This solution is a core component of data processing pipelines across multiple products of our organization.
What We Offer:

  1. Engaging and innovative tasks with a dedicated team focused on developing proprietary solutions utilizing advanced state-of-the-art Machine Learning models and data-driven algorithms.


  1. Close collaboration with experienced software developers, data scientists, data analysts and researchers.


  1. Comprehensive support for personal growth and career development at the corporate level.


  1. A fully remote work environment.


  1. Provision of all necessary equipment.


Role & Responsibilities:

  • Develop and maintain core components of data processing pipelines focused on parsing and intelligent analysis of unstructured content (e.g., PDF, MS Office formats).


  • Design, implement, and optimize machine learning models, ensuring seamless integration and deployment within the continuous release cycle of the unstructured document processing pipeline.


  • Oversee MLOps functions, including dataset management, maintenance of training pipelines, solution packaging, and management of third-party dependencies.


  • Create and maintain comprehensive documentation, and actively collaborate with other development teams to promote updates and enhancements.


Job Requirements:

  1. Experience: 3+ years as a Python developer and Data Scientist with a focus on developing and deploying code and ML models in production, particularly for unstructured data processing projects.


  1. Python Proficiency: Advanced Python programming and engineering skills, including environment management, library packaging, code analysis, and unit testing.


  1. Deep Learning: Hands-on experience in training deep learning models for NLP and/or Computer Vision such as transformers, RNNs, CNNs.


  1. Algorithmic Expertise: Strong understanding of algorithms and data structures.


  1. Communication: Fluent in English, with excellent communication and collaboration abilities.


Nice-to-Have:
Skills in shell scripting and Linux.
Experience with data extraction from documents.
About Company Statement:
Accuris delivers essential intelligence that powers decision making. We provide the world's leading organizations with the right data, connected technologies and expertise they need to move ahead. We think differently, combining the knowledge and resources of an established company with the unapologetic boldness of a startup. (https://www.spglobal.com/engineering/en/index.html)
Our mission: build an evolvable knowledge and data platform that enables STEM professionals to unlock and deliver innovation to the world's most complex problems.
Accuris provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Other details

  • Job Family - Software Development/Engineering
  • Job Function - Information Technology
  • Pay Type - Salary
  • Employment Indicator - Regular
  • Travel Required - No
  • Required Education - Bachelor's Degree

Top Skills

Python

What the Team is Saying

Nate Airulla
Evander Pierre
Dana Silverman
Alison Roth
The Company
HQ: Denver, CO
1,200 Employees
Hybrid Workplace
Year Founded: 1959

What We Do

Accuris empowers the next generation of engineers to solve tomorrow’s problems today. Our combination of trusted data, insights, and innovative technology solutions enable business and technical leaders to transform their workflows and make decisions with conviction - bringing their dreams to life in faster, smarter, and cleaner ways.

Accuris Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
Company Office Image
HQAccuris Denver Office
Company Office Image
Gdansk, Poland Office
Company Office Image
Ann Arbor, Michigan Office
Company Office Image
Bracknell, UK Office
Gdansk, Poland Office
Company Office Image
Malaysia Offices: Penang and Kuala Lumpur
Company Office Image
Tokyo, Japan Office
Company Office Image
India Offices: Bangalore and Gurgaon
Learn more

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account