Job Description:As a Customer Facing Data Scientist, you will play a pivotal role in bridging the gap between our cutting-edge data analytics solutions and our clients' business needs. You will collaborate closely with our sales, marketing, and customer success teams to understand client requirements, demonstrate the value of our products, and deliver tailored data-driven solutions.Responsibilities:Client Engagement: Build and maintain strong relationships with clients, acting as a trusted advisor on data analytics solutions.Requirement Gathering: Work closely with clients to understand their business objectives, challenges, and data requirements.Solution Development: Utilize your expertise in data science, machine learning, and statistical analysis to develop customized solutions that address client needs.Prototyping and Demonstrations: Create prototypes and conduct demonstrations to showcase the capabilities of our data analytics products and solutions.Technical Support: Provide technical support to clients throughout the implementation process, ensuring successful deployment and integration of our solutions.Training and Education: Conduct training sessions and workshops for clients to empower them with the knowledge and skills to leverage our products effectively.Feedback Loop: Act as a conduit for client feedback, providing valuable insights to our product development team to drive continuous improvement.Requirements:Educational Background: A bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field. A Ph.D. is a plus.Data Science Skills: Proficiency in data analysis, machine learning, and statistical modeling techniques.Programming Proficiency: Strong programming skills in languages such as Python, R, or SQL.Communication Skills: Excellent verbal and written communication skills in Portuguese and English, with the ability to convey complex technical concepts to non-technical stakeholders.Client-Focused: A customer-centric mindset with a passion for understanding and solving clients' business challenges.Team Player: Ability to collaborate effectively with cross-functional teams, including sales, marketing, and product development.Problem-Solving Skills: Strong analytical and problem-solving abilities, with a proactive and creative approach to finding solutions.Preferred Qualifications:Industry Experience: Previous experience in a customer-facing role within the data science or analytics industry.Domain Knowledge: Familiarity with industries such as finance, healthcare, retail, or telecommunications.Consulting Experience: Experience in a consulting or advisory role, providing data-driven insights and recommendations to clients.
