Data Science Tech Lead

Yseop is recognized as the world-leading AI software company and pioneer in Generative AI. Yseop is the leader in Generative AI for regulated industries, changing the way content automation solutions are delivered with a human-centric, AI platform. Yseop is reimagining the future of scientific writing to get medicine into the hands of those who need it faster. With a suite of industry-specific applications and cutting-edge hybrid Natural Language Generation (NLG) technology that blends symbolic, machine learning, and LLM techniques, Yseop ensures that even the most demanding content automation tasks are met with ease, scalability and application security across the entire enterprise At Yseop, our mission is to support companies through this digital transformation. We believe that our cutting-edge artificial intelligence technology allows businesses to increase the efficiency of their operations and shift employee time spent on tedious tasks to more value-added and creative work. So join Yseop and be part of an amazing adventure that is only at its beginning Our corporate values drive our daily job: Team : We care about each other, inspire each other and encourage strong team spirit Trust: Trust is foundational. It empowers our employees and customer relationships. Innovation: We love to innovate in ways that delight our customers Customer Centric: We exceed customer expectations and aspire to create true partnerships. Speed: We practice agility, prioritize simplicity and we are proactive We are building a diverse and inclusive team - and we need your help So join us to build tomorrow, today, ‍ Your mission The Data Science Tech Lead plays a crucial role in the company’s analytical strategy, driving the implementation of advanced solutions that promote innovation and data-driven decision-making. They combine deep technical expertise with strong leadership qualities to guide the team towards excellence. About the Role - Your main responsibilities will be: Leadership of Data Science projects: Lead the design, development, and deployment of predictive models, advanced analytics algorithms, and Machine Learning solutions aligned with the company’s strategic objectives. Technical supervision and team management: Coach and supervise a team of Data Scientists, ensuring the quality of work, fostering skill development among team members, and promoting collaboration within the team. Definition of Data Science strategy: Develop analytical and results-oriented strategies. Identify areas for improvement through data analysis and business needs to support decision-making. Cross-functional collaboration: Work closely with Data Engineering, Product, IT teams, and business stakeholders to understand challenges and translate needs into technical solutions. Development and deployment of models: Design, test, validate, and deploy Machine Learning and AI models. Ensure their maintenance and evolution based on new needs and available data. Technological watch and innovation: Stay up-to-date with advancements in Data Science, Machine Learning, Deep Learning, and Artificial Intelligence. Identify new tools, techniques, and frameworks relevant to the company. Model Quality Assurance: Establish rigorous processes to ensure the quality of the data used, the accuracy of the models, their robustness, and their explainability. Ensure continuous monitoring of the performance of deployed models. Documentation and sharing of best practices: Write technical documents and guides to share methods, results, and best practices with teams and stakeholders. Promote a culture of innovation and knowledge sharing within the team. Your profile We are looking for a candidate with a minimum of 5 years of experience in Data Science, including 2 to 3 years in a leadership or Tech Lead role, and an engineering degree (master’s or Ph.D.) in Data Science, Statistics, Computer Science, or a similar technical field. The ideal candidate will demonstrate curiosity, a collaborative spirit, strong analytical skills, leadership capabilities, and a passion for mentoring others. Technical skills: • Data Science & Machine Learning: Expertise in statistical modeling, supervised and unsupervised Machine Learning, Deep Learning, big data analysis, and unstructured data processing. • Programming languages: Proficiency in Python, R, and/or Scala. Knowledge of Machine Learning libraries such as scikit-learn, TensorFlow, Keras, PyTorch. • Big Data & Cloud: Experience with Big Data technologies (Hadoop, Spark) and cloud environments (AWS, GCP, Azure). • Data Wrangling and Data Preparation: Skills in data cleaning, transformation, and preparation for analysis. • Data Visualization Tools: Expertise with tools such as Tableau, Power BI, or matplotlib/seaborn to create relevant visualizations. • Algorithms and Optimization: In-depth knowledge of optimization algorithms, dimensionality reduction techniques, and predictive analytics models. Mathematics/Statistics skills: • Advanced Statistics: Mastery of advanced statistical concepts, such as hypothesis testing, regression, Bayesian methods, etc. • Model Optimization: Experience in hyperparameter optimization and evaluating model performance. Management and Leadership Skills: • Team Management: Experience in managing technical teams, with the ability to coach, guide, and foster collaboration. • Project Management: Skills in agile project management, tracking progress, task prioritization, and deadline management. • Communication: Ability to communicate complex concepts clearly and understandably to non-technical audiences. Capable of presenting results to diverse stakeholders. Benefits to join Yseop? A very strong company culture Hybrid work policy 1 day per year offered to do volunteer work in an association Birthday Off and Mental Health Day An on- boarding tailored made to simplify your integration and meet all the teams Team Building every quarter Yseop is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws.

Location: Paris, FR

Posted Date: 1/20/2025