About the job

Neuralk-AI is looking for a senior Data Scientist to work on process automation and work hand in hand with our science team to accelerate research.

You will report to the CSO of Neuralk and will be located in our Paris offices.

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About Neuralk

We are a passionate team leading the way in AI innovation, committed to driving the rapid adoption of transformative AI applications. Our focus is on developing the technical tools to allow any company to build AI applications that natively interact with their structured databases (tabular or graph databases). Specifically, we develop a modern AI embedding platform to convert any structured database to a vectorstore that can later be combined with classic Machine Learning models for classification, regression or clustering purposes.

As an early-stage AI-driven startup backed by significant funding (>3m), we base our approach on state-of-the-art academic research to drive practical business solutions. We value clear communication and simplicity in our approaches, promoting a constant optimization mindset.

Join Neuralk to be part of a growing team, eager to learn and adapt, united by the belief that our technology can make a significant positive impact and contribute to transforming the AI industry.

Co-founders: Alexandre Pasquiou (CSO) & Antoine Moissenot (CEO).

Neuralk is dedicated to equal opportunity employment and fosters an environment that is open and respectful of diversity. All applicants are encouraged to apply if you have at least 3 years of expertise, a passion for our mission, learn quickly and believe you can contribute, we want to hear from you.

Mission Highlights

As a Data Scientist, your role will be to develop and refine advanced machine learning models for structured data processing and analysis, translating complex and diverse clients’ data into rich and normalised data sources that can be leveraged by our AI Embedding models. You will collaborate closely with our research and engineering teams (~5 people) to improve model performance, interpretability, and customization for diverse AI-driven applications.

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Role & Responsibilities

By contributing to the core of our AI platform, this position directly supports the company’s mission of making AI accessible and actionable. You will be responsible for:

• Model Development: Design, implement, and optimize data-driven models for structured data processing and analysis, ensuring they are robust and well-suited for the platform’s needs. Write clean, efficient, and scalable data science code.
• Data Exploration and Insights: Conduct exploratory data analysis, uncover meaningful patterns, and develop models that translate insights into actionable outcomes. Ensure data quality and consistency throughout the process.
• Model Evaluation and Refinement: Continuously assess model performance and fine-tune algorithms to ensure they meet or exceed business and technical objectives.
• Reproducibility and traceability: Ensure that all data processing pipelines and models are fully reproducible and traceable, documenting methodologies and maintaining transparency in model development.
• Research: Stay current with the latest advancements in machine learning and data science, applying state-of-the-art techniques to improve platform performance and capabilities.‍
• Collaboration: Work closely with MLOps engineers, machine learning engineers, and researchers to deliver solutions that enhance our research capabilities and business outcomes.

Profile

• PhD or M.S in Data Science, Computer Science, Machine Learning, Statistics, or a closely related field, with a focus on applied machine learning and data analysis.
• 5+ years of experience in data science or machine learning, involving data analysis, model development, and algorithm optimization.
• Strong communication skills in English and a proven ability to work with interdisciplinary teams.
• Ability to thrive in a dynamic, fast-paced startup environment.
• Self-starter with strong problem-solving skills.

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Bonuses

• A publication record in top-tier AI or data science conferences or journals.
• Experience designing and running large-scale data experiments.
• Proven experience in machine learning competitions or open-source contributions.
• Demonstrated ability to translate data insights into business value.
• Experience in developing and debugging code in Python, C++, R, or other languages.

Expertise

• Data Science & Machine Learning: Strong understanding of machine learning algorithms and data analysis techniques, with experience in reproducibility and scalability. A deep comprehension on how data can affect ML models performance.
• Programming: Proficiency in Python and data science frameworks (e.g., Pandas, Scikit-learn, PyTorch), with experience in software development best practices and version control systems such as Git.
• Data Management: Familiarity with data structures, databases (e.g., Parquet, SQL, NoSQL), and large-scale data processing techniques.‍
• AI Platforms & Tools: Experience in deploying, managing, and monitoring data science models, and familiarity with containerization technologies (e.g., Docker, Kubernetes).

Compensation & Benefits

We are a fast-pace startup, yet, we favor a good work-life balance and interesting compensations. We offer:

• A competitive salary
• Equity (BSPCE), to reflect the value you bring to Neuralk and to foster a shared journey
• Comprehensive health insurance
• French level paid leave and time-off work
• Dynamic work setting. Although our preference is for in-person collaboration, we will be flexible with occasional remote work arrangements.
• and more to come as we grow