Pre-Sales Data Scientist - 218950

Our Company

At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers' customers to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

The Pre-Sales Data Scientist is an experienced and expert Data Scientist, able to provide industry thought leadership on Analytics, Machine Learning, Artificial Intelligence, and its application across a variety of industries, including (Finance, Healthcare, Transportation, Manufacturing, Government, etc.). The Data Scientist supports account teams in framing business problems, identifying and developing analytic solutions that leverage Teradata technology and the partner eco-system that are disruptive, innovative - and above all, practical. As a part of the Sales Analytics organization, the Data Scientist is a hands-on practitioner who is technically grounded, data led, and always ready and able to roll-up his or her sleeves to demonstrate analytic solutions for both Predictive and Generative AI, including Proofs-of-Concepts (POCs) that solve or demonstrates the customer's business objectives.

• Provide pre-sales support at an executive level along with Teradata account teams, helping them to position and sell complex Analytic solutions that drive sales of Teradata software.
• Support the delivery of Proof-of-Concept projects that demonstrate the analytic business use-cases and predetermined success criteria
• Support account teams in closing new business by assisting them in developing, positioning, and closing proposals and actively participate in the design, development and roll-out of these analytic solutions
• Work with the extended Account teams, Industry Consultants and Customer Success Managers, to develop new Analytic propositions that are aligned with Teradata's technology and analytic capabilities, Analytic Partners, industry trends, new analytic technologies, and customer requirements.
• Develop and maintain an excellent understanding of the strengths and weaknesses of Teradata's Analytic solutions, platform and services and provide timely and relevant feedback to the Teradata product management teams
• Understand the market differentiators and value of Teradata's Analytic solutions and services and be committed to working with the product, engineering, and consulting teams to ensure that they continue to lead the market.

Who You Will Work With:

• Working closely with data scientists, AI specialists and industry strategists
• Sales Account Executives
• Customer Success Managers
• Sales Tech such as Architects and Solution Engineers to understand "as is" and "to be" analytics strategy and landscape
• Client Services & Partner Sales: Works with Consulting and Partners

What Makes you a Qualified Candidate

• Bachelor's or Master's degree in data science, computer science, engineering, mathematics, economics, statistics, finance, or related field.
• 3+ years relevant experience in applying data science methods toward the development of predictive analytics and machine learning models
• Familiar with highly dimensional data, feature reduction, and feature extraction methods
• Perform data mining knowledge discovery to find new patterns through the application of machine learning algorithms and other advanced analytics techniques to structured and unstructured data
• Familiar with model evaluation and selection methods
• 3+ years of experience in SQL and either Python or R.
• 3+ years of experience with tools such as Jupyter Lab, RStudio, VSCode, Databricks, SAS, etc.
• Strong verbal and written communication skills and strong presentation skills for delivering complex information to varied technical levels of audiences both internal and external.
• Experience with one or more of these areas or similar technologies: Natural Language Processing (NLP), Large Language Models (LLMs), Geospatial-temporal analysis, time series forecasting models such as ARIMA.
• Ability to travel to client sites as required, approximately 25%.

What You'll Bring

• Have a background in analytics in industries such as Finance, Healthcare, Transportation, Manufacturing, Government, etc.
• Relevant presales technology experience with presenting, demonstrating, training, consultative discovery, relationship building, etc.
• Have degree-level qualification in data science, computer science, statistics, mathematics, engineering, or other related disciplines.
• Experience with AWS, Azure, Google Cloud and their analytics services.
• Experience with MLOps/ModelOps

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.

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