Senior Data Scientist (Ref:qPmv5) | RSight® · Teeming.ai
RSight®
An optimized combination between Human & Digital.
As new technologies continue to emerge, recruitment challenges are growing.
RSight® is addressing all these challenges and empowers you to focus…
An optimized combination between Human & Digital.
As new technologies continue to emerge, recruitment challenges are growing.
RSight® is addressing all these challenges and empowers you to focus…
Technical IP moat: RSight employs advanced AI algorithms to enhance recruitment efficiency, integrating seamlessly with existing HR tools to create tailored projects, which has led to significant reductions in time-to-hire for early adopters.
Founder-market fit: Founded by Philippe Beucher in 2020, RSight leverages his expertise in AI integration within organizational processes, positioning the company to address the evolving challenges in recruitment effectively.
Investor validation: RSight has secured $4.5M in funding across three rounds, including support from Bpifrance, indicating strong governmental backing for its innovative AI-driven recruitment solutions and confidence in its market potential.
Company Overview
RSight
RSight revolutionizes recruitment with AI-driven solutions that seamlessly align talent with job opportunities, streamlining the hiring and onboarding processes for organizations worldwide.
Why it matters
The global recruitment market is projected to reach $500 billion by 2025, driven by the increasing demand for talent in a competitive landscape. As companies face challenges in sourcing qualified candidates, AI-driven recruitment solutions like RSight address inefficiencies and enhance the hiring experience. The shift towards digital transformation in HR practices underscores the relevance of innovative technologies in optimizing workforce management.
Product snapshot
RSight's platform employs advanced AI algorithms to simplify the recruitment process, offering a comprehensive solution for hiring managers. The system integrates seamlessly with existing HR tools, enabling organizations to create tailored recruitment projects efficiently. Early adopters have reported significant reductions in time-to-hire and improved candidate quality, with testimonials highlighting RSight's user-friendly interface and effective matching capabilities. The company has been recognized as one of the most innovative recruitment firms, reflecting its impact on the industry.
Funding Track Record
Funding Overview
Total verified funding: $4.5M across 3 rounds. Currently at Seed stage.
Funding Track Record
Jun 30, 2025 - Seed: $3,182,319. Lead investor: Not publicly disclosed
Jul 1, 2024 - Seed: $1,395,771. Lead investor: Not publicly disclosed
Jul 1, 2024 - Debt Financing: $322,101. Lead investor: Bpifrance.
Investor Signal
The presence of Bpifrance indicates strong governmental support for innovation in AI recruitment. The multiple seed rounds suggest a focus on refining product-market fit, while the debt financing may signal confidence in revenue generation potential. The lack of disclosed lead investors in seed rounds could imply a strategic focus on stealth growth or early-stage validation.
Founders
What we do
Join the Team
Senior Data Scientist (Ref:qPmv5)
RemoteRO
Remote • RO
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An exciting opportunity to join our client's team at a
fast-growing digital product engineering company
with a global presence in 33 countries and over 19,000 experts. The company builds products, services, and experiences that inspire, excite, and delight. We are looking for a
Senior Data Scientist
to join this global organization.
Objectives
We are seeking a Senior Data Scientist to lead data-driven projects that drive strategic decisions and innovation. You will work closely with a team of data professionals to build and deploy advanced statistical models and machine learning solutions aligned with business goals.
Responsibilities
The Data Scientist plays a pivotal role in driving data-driven decision-making and innovation.
This position is responsible for working with a small team of data professionals, guiding them in the development and implementation of advanced statistical models and machine learning algorithms.
They participate in data science projects from inception to completion, ensuring alignment with business objectives and timely delivery.
This position provides an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects.
The senior data scientist is responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques.
By fostering collaboration across departments and communicating insights to stakeholders, the Senior Data Scientist will contribute to the strategic vision and growth of the organization, while also promoting a culture of continuous improvement, curiosity, ownership and data practices
Qualifications
What our client is offering
Equal Opportunity Employer
RSight® is an equal opportunity employer and values diversity in the workplace. We encourage all qualified individuals, including those from diverse backgrounds and people with disabilities, to apply.
Application Instructions
Please submit your resume (mandatory) outlining your qualifications and interest in the position. Only candidates selected for interviews will be contacted.
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At least 5+ years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization
Proven experience in conducting statistical analysis and building models with advanced scripting languages
Experience leading projects that apply ML and data science to business functions
Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning, is preferred
Fluency in multiple programming languages and statistical analysis tools such as Python, PySpark, C++, JavaScript, R, SAS, Excel, SQL
Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka
Knowledge of statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN)
Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding
Ability to work in diverse, cross-functional teams in a dynamic business environment
Superior presentation skills, including storytelling and other techniques to guide and inspire
Familiarity with big data, versioning, and cloud technologies such as Apache Spark, Azure Data Lake Storage, Git, Jupyter Notebooks, Azure Machine Learning, and Azure Databricks.
Familiarity with data visualization tools (Power BI experience preferred).
Knowledge of database systems and SQL.
Strong communication and collaboration abilities.
Education: Bachelors Field: Information Technology, Data Management, Data Analytics, Business, Supply Chain, Operations Experience: Type: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
Access to private medical services through Regina Maria.
Sports benefit: Wellbeing Initiatives related to Sport through 7Card, wellbeing workshops and participation in sports events.
Referral bonus through our BYOB program (Bring Your Own Buddy).
Enjoy free access to Bookster.
Access to legal assistance and counseling services.
Lunch tickets.
Vacation time: 23 days with a plan to increase your annual vacation days based on time spent in company.
Access to e-learning platforms and various training programs.
Access to highly skilled experts to bring you the latest in learning and development with training in leadership, technical and personal development.
A flexible working environment.
A competitive remuneration and attractive benefits.
Opportunity to work with Top Clients on important projects
