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 for data-driven decision making.
As a Full Stack Analytics provider focused on machine learning & big data solutions, Keepler helps businesses become data-centric by architecting, developing, maintaining, and operating Data Products based on AWS, Google, and Microsoft cloud platforms.
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 customers more competitive, agile, and resilient by integrating data into corporate processes through data products.
The Position
- This role leverages data science expertise and technical background to drive sales success by providing technical leadership throughout the pre-sales process.
- Act as a trusted advisor to the sales team and clients, translating complex technical concepts into tangible business value, aligned with Keepler's consulting approach. Design and present tailored data science solutions.
- Conduct needs assessments, competitive analysis, and identify emerging trends to foster innovation.
- Collaborate with sales, technical teams, and product teams, build client relationships, and empower sales through training and documentation.
Technical Understanding
- Deep understanding of Data Science concepts including machine learning, AI, and Generative AI, with knowledge of big data and analytics. Able to articulate technical details and their business value.
- Familiar with data science tools and technologies such as Pandas, ML models, MLFlow, enabling technical discussions and assessment of client ecosystems.
- Experience analyzing data, identifying trends, and deriving insights to tailor solutions and demonstrate ROI.
- Strong technical consulting skills to lead data assessment workshops and translate business challenges into data science strategies.
- Effective communication skills to convey complex concepts clearly and persuasively to both technical and non-technical audiences.
- Business-oriented mindset to understand processes and align data science solutions with client needs for efficiency and profitability.
- Problem-solving skills to analyze challenges and propose data-driven solutions.
- Ability to identify and qualify leads, working with sales to target potential clients based on needs and technological fit.
- Passion for technology and data science to stay engaged and innovative.