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For Companies At a Glance
- Tasks: Build and deploy AI/ML models, analyze data, and ensure ethical AI practices.
- Company: Join iCIMS, a leader in transforming talent management for global companies.
- Benefits: Enjoy hybrid work, comprehensive benefits, and generous paid time off.
- Why this job: Be part of an innovative team that values diversity and fosters a collaborative culture.
- Qualifications: Bachelor's degree or equivalent experience with 2+ years in AI/ML and strong Python skills.
- Other info: Flexible work options near Dublin with weekly team meetups.
The predicted salary is between 36000 - 60000 £ per year.
Job Overview
We are iCIMS Talent Cloud AI, an agile team of product people, data scientists and software engineers, who created a collaborative environment centered around passion for people and their careers, as well as data science, high-performance software, and user experiences. Our culture feeds from innovation, engineering excellence and owning the outcomes for our stakeholders.
As a Data Scientist, you will play a crucial role in AI engineering for the iCIMS Talent Cloud. You will assist with building Natural Language Processing (NLP) models and statistical analysis using emerging components and technologies. Experience in the HR domain is a plus.
For this role you must have demonstrated machine learning experience and strong software skills coupled with a sound theoretical base in model training and optimization. If you have deeper experience or a stronger academic background, please apply as we may have some flexibility.
Hybrid/remote work in Ireland, focused near Dublin. The team meets weekly in the iCIMS office at Dogpatch Labs.
About Us
When you join iCIMS, you join the team helping global companies transform business and the world through the power of talent. Our customers do amazing things: design rocket ships, create vaccines, deliver consumer goods globally, overnight, with a smile. As the Talent Cloud company, we empower these organizations to attract, engage, hire, and advance the right talent. We’re passionate about helping companies build a diverse, winning workforce and about building our home team. We\’re dedicated to fostering an inclusive, purpose-driven, and innovative work environment where everyone belongs.
Responsibilities
- Build, train and deploy AI/ML natural language models independently.
- Evaluate models qualitatively and quantitatively using automated and statistical tools.
- Extract, clean and transform text and structured data.
- Define and implement detailed work for an AI task or user story.
- Use defined practices for reproducible, testable, ethical, efficient, and production ready AI.
- Ensure all work meets responsible AI practices.
- Document and present results to peers and leaders.
- Monitor production results and investigate reported issues.
Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field OR equivalent learning and experience.
- 2+ years experience implementing AI/ML models in products.
- Proficient with Python and data science frameworks.
- Excellent problem-solving and analytical skills.
- Effective communication and interpersonal skills. Articulates thoughts and ideas clearly, concisely.
EEO Statement
iCIMS is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at iCIMS.
We are proud to be an equal opportunity and affirmative action employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at
Compensation and Benefits
iCIMS offers a comprehensive benefits package: medical, vision, and dental, life insurance, pensions, tuition reimbursement, lifestyle spending accounts, and generous paid time off plans (vacation, sick, parental leave). Learn more here:
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Data Scientist employer: iCIMS, Inc.
Contact Detail:
iCIMS, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with Natural Language Processing (NLP) techniques and tools. Since this role emphasizes building NLP models, having hands-on experience with libraries like NLTK or spaCy can set you apart.
✨Tip Number 2
Engage with the data science community, especially those focused on AI and machine learning. Participating in forums or attending meetups can help you network and learn about the latest trends and technologies relevant to the role.
✨Tip Number 3
Showcase your problem-solving skills by working on real-world projects. Whether through personal projects or contributions to open-source, demonstrating your ability to tackle complex problems will resonate well with the hiring team.
✨Tip Number 4
Prepare to discuss your previous experiences with AI/ML model implementation. Be ready to articulate the challenges you faced, how you overcame them, and the impact of your work, as this will highlight your practical knowledge and expertise.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities and qualifications required, especially focusing on AI/ML model implementation and Natural Language Processing.
Highlight Relevant Experience: In your application, emphasize your experience with machine learning and any relevant projects you've worked on. If you have experience in the HR domain, make sure to mention it as it's considered a plus.
Showcase Technical Skills: Clearly outline your proficiency in Python and any data science frameworks you are familiar with. Provide examples of how you've used these skills in past projects or roles.
Communicate Effectively: Since effective communication is highlighted in the job description, ensure that your application is well-structured and clearly articulates your thoughts. Use concise language and avoid jargon where possible.
How to prepare for a job interview at iCIMS, Inc.
✨Showcase Your Machine Learning Experience
Be prepared to discuss your previous projects involving AI/ML models. Highlight specific examples where you built, trained, and deployed models, especially in the context of Natural Language Processing (NLP).
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your analytical thinking. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing how you approached complex problems in past roles.
✨Communicate Clearly and Effectively
Since effective communication is key, practice articulating your thoughts concisely. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, as this will be crucial in your role.
✨Familiarize Yourself with Responsible AI Practices
Understand the ethical implications of AI and be ready to discuss how you ensure your work aligns with responsible AI practices. This shows your commitment to creating fair and unbiased models.
