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A leading data consultancy seeks a Data Science Technical Advisor to enhance sales processes and provide technical expertise. This role involves translating complex data science solutions into business value, conducting needs assessments, and collaborating with sales and technical teams. Ideal candidates should possess strong communication skills, extensive knowledge in machine learning and big data, and a passion for data-driven solutions.
Keepler is a cloud-native AI & data consultancy that partners with customers to co-create tailored digital data products and data platforms. We integrate best practices in data governance, analytics, engineering, automation, and security to drive business value and intelligence into corporate processes.
We provide end-to-end engineering, development, and implementation services for businesses aiming to become data-driven through AI-enabled solutions.
Keepler is a Full Stack Analytics provider focused on machine learning & big data solutions, helping businesses architect, develop, maintain, and operate Data Products on AWS, Google Cloud, and Microsoft Azure.
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 as 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.
It involves acting as a trusted advisor to the sales team and clients, translating complex technical concepts into tangible business value, and designing tailored data science solutions.
The role includes conducting needs assessments, competitive analysis, and identifying emerging trends to foster innovation.
It also involves collaborating with sales, technical teams, and product teams, building client relationships, and empowering the sales team through training and documentation.
Technical Understanding
Candidates should have a deep understanding of Data Science concepts such as machine learning, artificial intelligence, and Generative AI, along with knowledge of big data and analytics.
Familiarity with data science tools and technologies like Pandas, ML models, and MLFlow is essential for engaging in technical discussions and assessing client ecosystems.
Experience analyzing data, identifying trends, and drawing insights helps in tailoring solutions and demonstrating ROI.
Strong technical consulting skills are required to lead data assessment workshops and translate business challenges into data science strategies.
Effective communication skills are crucial to convey complex concepts clearly and persuasively to both technical and non-technical audiences.
A business solution-oriented mindset, problem-solving skills, and the ability to work with sales to identify and qualify leads are also important.
A genuine passion for data science and technology is desired.