SESAMm (www.sesamm.com) extracts behavioral insights from millions of unstructured text data sources across the public internet in over 100 languages, helping clients distill valuable intelligence on businesses and their customers to make investment decisions and manage risk.
We work with many well-known firms around the world in private equity, investment banking, insurance, and asset management to apply Natural Language Processing and Artificial Intelligence algorithms to track e-reputation, competitive positioning, sentiment analysis, risk and ESG factors.
SESAMm is growing quickly, with over 90 team members around the globe and offices in Paris, New York, London, Metz, Tunis, and Tokyo.
Are you looking for a new challenge? Do you dream of joining a growing company, proposing new ideas, and taking part in innovative processes?
At SESAMm, everyone brings their ideas, skills, and creativity. We value collaboration, support and teamwork. We learn every day from the experience of this great team and we constantly take up new challenges. We are proud of the work accomplished and to participate in the success of this great adventure!
Key technologies: Alternative Data, Natural Language Processing, Machine Learning and Quantitative Analysis.
The Quant Data Scientist Role
As an integral member of our Customer Success Team, you will have the unique opportunity to work directly with high-calibre financial firms globally.
The role focuses on extracting meaningful insights from multifaceted, intricate, and sometimes noisy datasets, honing features, enhancing the machine learning pipeline, and evaluating the effectiveness of modeling.
As a Quant Data Scientist, you will play an active role directly with customers and partners, either to refine requirements or to deliver the various technical iterations.
Joining us during an exciting growth period, you will contribute significantly to shaping our team's culture.
Interact with Product Owners, Tech Leads or Sales Engineers (product evolutions, Proof of Concept, pre-sales, etc.).
Understand clients needs and propose technical solutions to product teams.
Deliver Data Science projects, either in direct contact with customers or with internal teams;
Perform data preprocessing and feature engineering;
Monitor, analyze and improve the NLP pipelines;
Understand and generalize Machine Learning model.
Desired Qualifications and Skills
- Hold a Master’s degree in a quantitative field (such as Mathematics or Data Science), with robust data analysis skills.
- 2-3 years of experience in Data Science
Software: Proficient in Python and familiar with Machine Learning libraries (such as Numpy, Pandas, Sklearn, Keras, and Matplotlib)
Comprehensive knowledge of Machine Learning principles and best practices;
Fluency in English, with strong written communication skills.
Experience with Cloud services, particularly AWS, is a plus.
Note: If you have a personal project that could underscore your candidacy, please include a link to your Github account in your application.
Benefits of Working at SESAMm
Flexibility: Team members can work remotely and have the opportunity to work with colleagues around the world.
Work environment: SESAMm is multicultural, with technology, sales, and management teams in the US, France, and Tunisia making important contributions to the company’s growth.
Career development: SESAMm is growing quickly, which means the opportunities for your own growth are continually expanding, and that you can shape the company’s culture and evolution.
Professional evolution: SESAMm values training and knowledge-sharing. We organize internally and externally led training sessions and pay for access to educational platforms.
Transparency: You will be kept apprised of the company’s continuing evolution and performance through monthly “Ask Me Anything” meetings, frequent business/finance updates, and strategy-sharing discussions.
Well-being: Building a good culture is key to building a good business at SESAMm. We focus on being a learning organization that values and supports teamwork, thoughtfulness, and work/life balance.
Duration: Permanent Contract (CDI)
Type of contract: Full time
Start Date: ASAP