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 looking to deliver AI-enabled, data-driven solutions.
Keepler is a Full Stack Analytics provider focused on machine learning & big data solutions, helping 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.
- The vision is to be the best in the world at bringing intelligence to people and companies, enabling them to become data-driven.
- Keepler's mission is to make its customers more competitive, agile, and resilient by integrating data into corporate processes via data products.
The Position
- This role leverages data science expertise and a technical background to drive sales success by providing technical leadership throughout the pre-sales process.
- Acting as a trusted advisor to the sales team and clients, translating complex technical concepts into tangible business value, considering Keepler's consulting approach.
- Designing and presenting tailored data science solutions, conducting needs assessments, competitive analysis, and identifying emerging trends to foster innovation.
- Collaborating with sales, technical teams, and product teams, building client relationships, and empowering the sales team through training and documentation.
Technical Understanding
- Deep understanding of Data Science: core concepts like machine learning, AI, Generative AI, with knowledge of big data and analytics, capable of articulating technical details and their value.
- Familiarity with Data Science tools and technologies: knowledge of tools like Pandas, ML models, MLFlow, enabling engagement with technical stakeholders and assessment of client ecosystems.
- Experience in Data Science: analyzing data, identifying trends, drawing insights, and tailoring solutions to client needs to demonstrate ROI.
- Data consulting & strategy focus: strong technical consulting skills to lead assessments and uncover data-driven opportunities, translating business challenges into strategies.
- Effective communication and presentation skills: conveying complex concepts clearly and persuasively to diverse audiences.
- Business solution orientation: understanding business processes and applying data science to improve efficiency and profitability.
- Problem-solving and analytical skills: analyzing challenges and proposing data-driven solutions.
- Lead qualification: working with sales to identify and qualify potential clients based on needs and technological fit.
- Passion for technology and data: genuine interest in the transformative potential of data science.