The Senior Data Scientist (pre-sales) is an experienced and expert Data Scientist, able to provide industry thought-leadership on Analytics and its application across industries and across use-cases. The Senior Data Scientist supports the account team in framing business problems and in identifying analytic solutions that leverage Teradata technology and that are disruptive, innovative - and above all, practical. An articulate and compelling communicator, the Senior Data Scientist establishes our position as an important partner for advanced analytics with customers and prospects and is a trusted advisor to executives, senior managers and fellow data scientists alike across a range of target accounts. They are also a hands-on practitioner who is ready, willing and able to roll-up her sleeves and to deliver POC and short-term pre-sales engagements. The Senior Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and is a natural problem-solver and able to effectively promote Teradata technology and solutions to our customers. Who You'll Work With The successful candidate will work with other expert team members to

• Provide pre-sales support at an executive level to the Teradata account teams, helping them to position and sell complex Analytic solutions that drive sales of Teradata software.
• Provide strategic pre-sales consulting to executives and senior managers in our target market.
• Support the delivery of PoC and PoV projects that demonstrate the viability and applicability of Analytic use-cases and the superiority of Teradata solutions and services.
• Work with the extended Account team, and Sales Analytics Specialists to develop new Analytic propositions that are aligned with industry trends and customer requirements.
  
  Have proven hands-on experience of complex analytics at scale for example in the areas of IoT and sensor data.
• Understand the PMML and ONNX model portability standards
• Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such asDataiku and H2O
• Have strong hands-on programming skills in at least one major analytic programming language and/or tool in addition to SQL, An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 5 years real-world experience in the application of advanced analytics.
• A passion about knowledge sharing and demonstrate a commitment to continuous professional development.
• A Belief in Teradata's Analytic solutions and services and be a commitment to working with the product, engineering, and consulting teams to ensure that they continue to lead the market
• An ability to turn complex technical subject matter into relatable easy to digest and understand content for senior audiences.
• a degree level qualification (preferably Masters or PHD) in Statistics, Data Science, the physical or biological sciences or a related discipline
Why We Think You'll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.

Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment.