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Une entreprise de conseil en données recherche un consultant technique orienté vers les ventes pour conduire le succès commercial grâce à des solutions de science des données. Ce rôle exige une expertise en machine learning et en intelligence artificielle, ainsi que des compétences fortes en communication pour traduire des concepts complexes en valeur commerciale tangible. Le candidat collaborera avec une équipe de vente, assurant la formation, l'analyse des besoins des clients et l'identification des tendances émergentes.
Keepler is a cloud-native AI & data consultancy that partners with customers to co-create tailored digital data products and data platforms, integrating best practices in data governance, analytics, engineering, automation, and security to drive business value and intelligence into corporate processes.
Keepler provides end-to-end engineering, development, and implementation services to businesses aiming to leverage AI to become data-driven. As a Full Stack Analytics provider focused on machine learning and big data solutions, Keepler helps businesses become data-centric by architecting, developing, maintaining, and operating Data Products based on AWS, Google, and Microsoft.
Vision & Mission
Keepler elevates human potential through data. Our vision is to be the best in the world at bringing intelligence to people and companies, enabling them to become data-driven. Our mission is to make our customers more competitive, agile, and resilient by integrating data into corporate processes through data products.
The Position
This role will leverage data science expertise and technical background to drive sales success by providing technical leadership throughout the pre-sales process. The candidate will act as a trusted advisor to the sales team and potential clients, translating complex technical concepts into tangible business value, aligned with Keepler’s consulting approach. Responsibilities include designing and presenting tailored data science solutions, conducting needs assessments, competitive analysis, and identifying emerging trends to foster innovation. The role involves collaborating with sales, technical teams, and product teams, building client relationships, and empowering the sales team through training and documentation.
Technical Understanding
The candidate should have a deep understanding of data science concepts such as machine learning, artificial intelligence, and Generative AI, with additional knowledge in satellite data, big data, and analytics. They should comprehend technical details of data science solutions and articulate their value to clients. Familiarity with data science tools and technologies like Pandas, ML models, and MLFlow is essential. The candidate should have experience analyzing data, identifying trends, and demonstrating ROI of data science investments. Strong skills in data consulting and strategy are required to lead data assessment workshops and translate business challenges into actionable data science strategies.
Sales Skills
The candidate must possess strong presentation and communication skills to effectively convey complex technical concepts and the value proposition of data science solutions to diverse audiences. They should be business solution-oriented, understanding processes and how data science can enhance efficiency and profitability. Problem-solving, analytical skills, and the ability to identify and qualify leads are crucial. A genuine passion for technology and data is also essential.