Since its inception in 2016, Kicklox has established itself as a leading platform dedicated to connecting technology talent with industrial enterprises for innovative project collaboration. The company specializes in digitalizing talent management processes, including skills referencing, project staffing, and mission tracking, to enhance responsiveness and quality of collaboration. Kicklox boasts a vibrant community of over 150,000 qualified tech professionals who are mobilized on demand for freelance missions or direct recruitment into permanent roles. The company's team of industry experts provides comprehensive support and guidance throughout project phases and digital transformation initiatives. Operating across multiple sectors such as automotive, aerospace, defense, telecommunications, energy, and more, Kicklox deploys hybrid digital services that enable clients to rapidly mobilize their full spectrum of skills, addressing the competitive war for talent in technology and industry.
About The Role
Kicklox is seeking an experienced Data Scientist to join a dynamic team for a contractual engagement based in Toulouse, France. This role is ideal for professionals with a strong background in data analysis, statistical modeling, and machine learning who are eager to contribute to strategic decision-making through data-driven insights. The successful candidate will analyze large volumes of raw data to identify patterns and trends, develop predictive models using advanced algorithms, and collaborate closely with business teams to understand operational challenges and embed analytical solutions into strategic initiatives. Additionally, the Data Scientist will prepare clear, comprehensive reports and utilize visualization tools to communicate findings effectively to stakeholders with varying technical backgrounds. This position offers an exciting opportunity to work on complex data projects in a fast-paced environment, with partial remote work options available.
Qualifications
Minimum of 8 years of professional experience in data analysis, statistics, and machine learning
Proficiency in programming languages such as Python and R
Experience with data science tools including TensorFlow and scikit-learn
Strong understanding of statistical techniques and predictive modeling
Excellent communication skills, both written and verbal
Ability to interpret complex data and translate insights into actionable recommendations
Experience working in multidisciplinary teams and collaborating with business units
Detail-oriented with a strong analytical mindset
Capability to propose innovative solutions based on data insights
Fluent in French; additional language skills are a plus
Responsibilities
Analyze large and complex datasets to uncover meaningful patterns and insights
Develop and refine predictive models to support strategic decision-making
Implement machine learning algorithms to enhance analytical capabilities
Collaborate with business teams to understand operational challenges and tailor data solutions accordingly
Design and produce comprehensive reports, dashboards, and visualizations for diverse audiences
Experiment with new analytical techniques and methodologies to improve existing processes
Ensure data quality and integrity throughout the analysis process
Document methodologies, findings, and best practices for future reference
Stay updated with the latest trends and advancements in data science and machine learning
Benefits
Competitive daily remuneration ranging from €450 to €630 based on experience
Flexible work arrangements with partial telecommuting options
Engagement in innovative and impactful projects within a leading industrial digital platform
Opportunity to work in a multidisciplinary environment with industry experts
Potential for long-term collaboration and professional growth
Equal Opportunity
Kicklox is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants. We value diversity and do not discriminate based on race, gender, age, religion, national origin, disability, sexual orientation, or any other protected characteristic. We encourage individuals from all backgrounds to apply and join our team dedicated to innovation and excellence.