Education: Bachelor’s degree in Computer Science, Data Science, or related field.
Certifications: Relevant AI and technology certifications preferred.
Work Experience: Proven experience as a data scientist in business environment.

Specialized Knowledge, Skills, and Abilities:

• Strong expertise in Generative AI technologies and a passion for staying updated with the latest AI trends.
• Excellent presentation and communication skills, with the ability to simplify complex AI concepts for non-technical audiences.
• A commanding presence and the ability to engage and captivate an audience.
• Experience creating technical documentation, research articles, and training materials.
• Hands-on experience with AI tools and platforms, such as TensorFlow, PyTorch, GPT-3, etc.
• Experience working in a pre-sales or customer-facing role.
• Familiarity with AI ethics and responsible AI practices.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

• Health and Wellbeing: Heath, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

Diversity, Equity, and Inclusion is more than a commitment at WWT - it is the foundation of what we do. Through diverse networks and pipelines, we have a clear vision: to create a Great Place to Work for All. We believe inclusion includes U. Be who U are at WWT!
Equal Opportunity Employer Minorities/Women/Veterans/Individuals with Disabilities
Preferred (Not Required) Locations: St. Louis, Milwaukee, Chicago, Austin, Dallas, Phoenix, Charlotte, Atlanta and potentially others

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Requirements:
Why WWT?
At World Wide Technology, we work together to make a new world happen. Our most important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.
WWT was founded in 1990 in St. Louis, Missouri. We employ more than 10,000 people globally and closed nearly $20 billion in revenue in 2023. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proud to have been included on the FORTUNE “100 Best Places to Work For®” list for more than 10 years.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!

WHAT WILL YOU BE DOING?

We are looking for an experienced Pre-Sales Data Scientist to join our team. The ideal candidate will have a solid track record of working data science projects in the enterprise sector and an understanding of Generative AI technologies. The candidate will be responsible for presenting complex AI concepts to non-technical audiences in an engaging and understandable manner, ensuring our clients fully grasp the value and potential of our AI solutions. Additionally, the candidate will play a key role in fostering and maintaining strategic relationships with partners and vendors in the AI space.

RESPONSIBILITIES:

• AI Expertise: Serve as the AI subject matter expert, enhancing the sales team’s ability to sell AI solutions and representing our AI capabilities in customer engagements.
• Generative AI Knowledge: Develop and maintain expertise in Generative AI, staying current with industry trends and advancements.
• Customer Guidance: Guide customers through the technology landscape, clarifying how AI can solve specific business challenges and outlining preliminary implementation plans.
• Opportunity Qualification: Utilize qualification tools to identify and qualify service opportunities, ensuring alignment with customer needs and business goals.
• Knowledge Transfer: Facilitate knowledge transfer within the team to foster a unified approach to AI solutions.
• Partner Relationship Management: Develop and nurture relationships with strategic AI partners, coordinating on AI initiatives and ensuring our solutions remain market-leading.
• Pre-Sales Engagement: Act as a technical expert during pre-sales engagements, effectively communicating complex AI concepts to non-technical stakeholders.
• Presentations and Demonstrations: Deliver compelling presentations and demonstrations that articulate the value of our AI solutions.
• Client Collaboration: Work with sales teams to understand client needs and tailor AI solutions accordingly.
• Cross-Functional Collaboration: Collaborate with cross-functional teams to ensure alignment on AI strategy and client solutions.
• Research and Experimentation: Conduct hands-on research and experiments in our AI Proving Ground lab to explore new AI concepts and technologies.
• AI Practice Understanding: Develop and maintain a deep understanding of our AI practice, products, and services.
• Content Creation: Create informative research articles and technical documentation on AI concepts, trends, and advancements.
• Training Development: Develop and deliver training materials and sessions to internal teams and clients on AI best practices and our AI solutions.