Lead - Data Scientist

As a Data Scientist at this company, you will play a crucial role in developing, processing, cleansing, and enhancing data collection procedures from multiple sources. Your responsibilities will include conducting experiments and proof of concepts to validate business ideas, testing and enhancing models in distributed environments, and collaborating closely with product teams to implement algorithms using Python and/or R. Additionally, you will design and implement scalable predictive models and classifiers leveraging machine learning and data regression techniques. Integration with enterprise applications using APIs to enrich implementations will also be part of your tasks. Qualifications required for this role include: - Experience in developing and deploying statistical and machine learning solutions - Proficiency with common data science toolkits like Scikit, NumPy, and Python libraries - Familiarity with SQL databases such as PostGRE or OpenSQL - Prior experience in developing APIs and services using Python - Good awareness of machine learning, predictive modeling, and implementation processes If you join this company, you will become part of a diverse environment that values equal opportunities for all applicants. Regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status, all qualified candidates will be considered for employment. The company believes in the power of people as drivers of change, shaping the future through their initiatives, whether small or ambitious. Together, you can make a positive impact on the future by creating, daring, innovating, and taking action, as these values are deeply ingrained in the company's DNA. Furthermore, employees have the opportunity to dedicate several days per year to solidarity actions during working hours, including sponsoring individuals struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing skills with charities. The company is committed to supporting the acceleration of its Group's ESG strategy by implementing ESG principles in all activities and policies, including business operations, work environment, and responsible practices for environmental protection. As a Data Scientist at this company, you will play a crucial role in developing, processing, cleansing, and enhancing data collection procedures from multiple sources. Your responsibilities will include conducting experiments and proof of concepts to validate business ideas, testing and enhancing models in distributed environments, and collaborating closely with product teams to implement algorithms using Python and/or R. Additionally, you will design and implement scalable predictive models and classifiers leveraging machine learning and data regression techniques. Integration with enterprise applications using APIs to enrich implementations will also be part of your tasks. Qualifications required for this role include: - Experience in developing and deploying statistical and machine learning solutions - Proficiency with common data science toolkits like Scikit, NumPy, and Python libraries - Familiarity with SQL databases such as PostGRE or OpenSQL - Prior experience in developing APIs and services using Python - Good awareness of machine learning, predictive modeling, and implementation processes If you join this company, you will become part of a diverse environment that values equal opportunities for all applicants. Regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status, all qualified candidates will be considered for employment. The company believes in the power of people as drivers of change, shaping the future through their initiatives, whether small or ambitious. Together, you can make a positive impact on the future by creating, daring, innovating, and taking action, as these values are deeply ingrained in the company's DNA. Furthermore, employees have the opportunity to dedicate several days per year to solidarity actions during working hours, including sponsoring individuals struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing skills with charities. The company is committed to supporting the acceleration of its Group's ESG strategy by implementing ESG principles in all activities and policies, including business operations, work environment, and responsible practices for environmental protection.