Data Science and AI Pre-Sales Solution Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Provides direction and specialist knowledge in applying the technology/application to client business. Facilitation of customer product/application understanding through presentations demonstrations and benchmarks; provision of support throughout the sell.

As a Principal Sales Consultant you will be responsible as the expert for formulating and leading presales technical / functional support activity to prospective clients and customers while ensuring customer satisfaction. Acts as a technical resource and mentor for less experienced Sales Consultants. Focuses on large or complex sales opportunities that need creative and complex solutions. Develops productivity tools and training for other Sales Consultants. Develops and delivers outstanding Oracle presentations and demonstrations. Leads any and all aspects of the technical sales process. Advises internal and external clients on overall architect solutions.

Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 3 years vendor (sales and marketing) experience. 7 years business experience with relevant computer applications or database/tools. Ability to implement the most advanced product features. Thorough knowledge of system and application design. In depth knowledge of competitors. Demonstrated project management skills. Demonstrated excellent verbal and written communication skills: needs analysis, positioning, business justification, closing techniques. Ability to persuade others through presentations, demonstrations, and written communication. Ability to travel as needed. A/BS degree or equivalent, advanced degree highly desirable.

Responsibilities

Team Description

Want to take your career to the next level? As a Data Science and AI Specialist, you will help Oracle empower our government customers to become more transformational through the use of predictive analytics. We want to provide our government customers at all levels with data science, ML, AI, and analytics tools that will make an impact on how they interact with citizens.

The Government & Education Data and Analytics team is a group of highly skilled specialists that help Oracle cloud and on-premise customers develop and deploy modern data architectures. This team helps to accelerate customer journeys to the cloud by helping them achieve their goals in data science and advanced analytics. This team consists of experts that can identify, evangelize, architect, pilot, and implement solutions that enable our Government & Education customers to rapidly use their data to solve business problems.

Job Description

This role promotes Data Science and AI offerings for Government & Education customers seeking to leverage data to gain insights into cost savings and improved business processes. This role requires the data scientist to be deeply technical and hands-on, and to work closely with our sales teams, customers, product teams, and other data scientists to design, develop, and deploy Data Science and AI solutions for our customers. The successful candidate must have a good understanding of the value of the data lifecycle (ingest, transform, curate, analyze, and predict), and proven experience delivering data science, ML, and AI solutions.

We are seeking an individual that has a strong record of developing analytic solutions, of operationalizing ML models that have business impact, and will provide expertise in advanced analytics and data science across all government sectors. The Data Science and AI Solution Engineer should be able to navigate the Linux command line and should have solid SQL, python, and/or R skills. This role will work collaboratively with the customer to document the current state architecture, design the future state, and develop a path for cloud digital transformation through data science and analytics.

Job Requirements

As a Data Science and AI Pre-Sales Solution Engineer, you will be responsible as the expert for formulating and leading pre-sales technical / functional activities to with prospects and customers while ensuring customer satisfaction. Focuses on large or complex sales opportunities that need creative and complex solutions. Develops and delivers outstanding Oracle presentations, demonstrations, and proof-of-concept (POC) data analysis. Leads all aspects of the technical sales process.

An ideal candidate will have a deep understanding of at least a few industry domains and expertise deploying advanced analytics solutions to improve business outcomes using data science and AI solutions. Experience in analytics/data science tools, with and a good understanding of the leading products in the industry are required along with passion, curiosity, technical depth, and exceptional communication/presentation skills.

Desired Qualifications/Skills

• 5+ years of experience in Consulting or Sales/Solution Engineering or Product Management.
• 5+ years of proven domain knowledge of Data Science and big data ecosystems. Domain knowledge includes Python, R, Scala, Spark, Kafka, Hadoop, AI/ML, NoSQL, Cloud data architecture, etc.
• Excellent understanding of machine learning techniques and algorithms. Some understanding of neural networks, TensorFlow or comparable, is also desired.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience with data visualization tools such as Oracle Analytics Cloud, Qlik, Tableau, D3.js, GGplot2, etc.
• Ability to provide thought leadership on data science and AI technologies and solutions with proven ability to identify and develop solutions that can accelerate time to value for customers using Oracle Cloud Services.
• A bachelors or masters in mathematics or computer science or related field is required.
• Demonstrated excellent verbal and written communication skills: needs analysis, positioning, business justification, closing techniques.
• Ability to persuade others through presentations, demonstrations, and written communication.
• Demonstrated project management skills.
• May require travel to client sites for projects up to 25% after the pandemic. 

Responsible for engaging with strategic and more complex customers, builds leadership relationships at multiple levels within organizations in order to design and implement solutions. Works directly with customers to gather requirements, develop architectures and translates business needs into solutions. May implement solutions and ensure successful deployments through code development and scripting. Displays product/application understanding through highly customized presentation demonstrations to customers and at conferences and events. Supports customer from proof-of-concept (POC) through production deployment of services via resource configuration, planning, and customer education/training. Creates and distributes technical assets (white papers, solution code, blog posts, and video demonstrations). Provides leadership and expertise in the development of new solutions, products, and processes.

Maintains expertise by staying current on emerging technologies. Acts as an acknowledged authority for customers and sales on technical cloud solutions and customer success. Viewed by peers as a leader and top contributor and by line management as a key business partner. Identifies gaps and enhancements to influence engineering roadmaps for customer driven features. Maintains expertise by staying current on emerging technologies.