Senior Data Scientist
Job Summary
Job Description
Ness Digital Engineering is seeking a Sr Data Scientist to design solutions utilizing NLP models including chat assistants and RAG systems. Responsibilities include NLP model evaluation using human-supported and synthetic methods, deploying models with focus on latency, reliability, and scalability, and discovering new methods for prompt engineering, model fine-tuning, quantization, latency optimization, document embeddings, and chunking. The role involves collaborating closely with product teams, business stakeholders, and engineers for smooth integration of NLP models into production systems, troubleshooting complex machine learning development and data pipeline issues, and researching the latest relevant methods and technologies. A degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or a related field is required, along with good understanding of machine learning and deep learning methods and their mathematical foundations.
Must have:
- Design NLP solutions (chat assistants, RAG systems)
- Evaluate NLP models (human-supported, synthetic)
- Deploy NLP models (latency, reliability, scalability)
- Discover prompt engineering/fine-tuning methods
- Collaborate with product teams and stakeholders
- Troubleshoot ML development and data pipelines
- Research new methods and technologies
- Degree in CS, Math, Stats, Linguistics, Eng.
- Understand ML/DL methods and foundations
- 1+ years experience in Advanced Analytics/Data Science
- 1+ years experience developing NLP models (transformer)
- Mastery of Python, write testable code
- Knowledge of developing/tuning LLMs
Good to have:
- 1+ years experience with information retrieval systems
- Contributed to OpenSource or research projects
- Participation in Kaggle competitions
- Ability to work in a team
- Report progress to less technical audience
- Curious and open-minded attitude
Perks:
- Access to trainings and certifications
- Bonuses and aids
- Socializing activities
- Attractive compensation
6 skills required
Job Details
Description
Why Ness
We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.
You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.
You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.
Requirements and responsibilities
What you’ll do
- Design solutions utilizing NLP models including chat assistants and RAG systems.
- NLP Model evaluation using both human-supported and synthetic evaluation methods and metrics.
- Deploy NLP models ensuring latency, reliability, and scalability.
- Discover new methods for prompt engineering, model fine-tuning, quantization and latency optimization, document embeddings and chunking.
- Collaborate closely with product teams, business stakeholders, and engineers to ensure smooth integration of NLP models into production systems.
- Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
- Actively research, explore and identify the latest relevant methods and technologies
- Degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.
- Good understanding of machine learning and deep learning methods and their mathematical foundations
- 1+ years of professional experience in Advanced Analytics / Data Science / Machine Learning
- 1+ years hands-on experience developing NLP models, ideally with transformer architectures.
- Mastery of Python and ability to write robust and high standard, testable code
- Knowledge of developing or tuning LLMS
What you’ll bring
- 1+ years of experience with implementing information retrieval systems.
- Experience with contributing to OpenSource initiatives or in research projects and/or participation in Kaggle competitions.
- Ability to work in a team
- Able to report progress and summarize issues to a less technical audience
- Curious and open-minded attitude to new approaches
Not checking every single requirement?
If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.
Let’s meet and you may just be the right candidate for one of our roles.
At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.
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