Data Science Analyst

We are looking for passionate, enthusiastic Gen AI Developer for DXP Studio role.

As a Generative AI (GenAI) Evangelist, you will serve as a bridge between cutting-edge AI capabilities and the strategic goals of our marketing and martech teams. Your role is to identify real-world problems and opportunities within marketing workflows, campaign planning, customer experience, content generation etc and then envision and prototype GenAI-driven solutions, independent of a single technology or vendor stack., * Partner with Digital experience Platforms Implementation teams and customer marketing and martech teams to uncover inefficiencies, pain points, and innovation opportunities where GenAI can create value.

• Ideate, prototype, and evangelize GenAI use cases such as content creation, personalization at scale, campaign optimization, customer journey analysis, etc.
• Translate business problems into GenAI-powered solutions, regardless of the underlying tech (OpenAI, IBM Watsonx, Google, Meta, open-source models, etc.).
• Educate and inspire internal stakeholders through demos, workshops, and thought leadership around GenAI capabilities and trends.
• Stay on the pulse of emerging GenAI tools and applications relevant to marketing (text, image, audio, video generation, chatbot personalization, etc.).
• Collaborate with engineering, data, and platform teams to evaluate feasibility and assist in pilot deployments.
• In this role you will report to Solutions Architect and presales consultants and will be responsible for quick PoCs, PoVs and demos.

• Computer Science graduate
• Experience 0 to 5 years
• Knowledge of popular languages / frameworks (Java, Python, JavaScript, Node JS, React etc)
• Credentials of applying Generative AI technologies in practical scenarios.
• Hands-on experience working with GenAI tools (e.g., OpenAI, Midjourney, Adobe Firefly, Claude, DALL·E, IBM watsonx, etc.).
• Experience identifying business use cases and turning them into AI-powered workflows or prototypes (e.g., using prompt engineering, low-code/no-code AI tools, or APIs).
• Proven ability to communicate complex technical ideas to non-technical audiences.

Desirable skills

• Understanding of Marketing technologies and platforms
• Participation in GenAI bootcamps, online certifications (Coursera, LinkedIn Learning, etc.), or hackathons is a plus.
• Previous work with marketing or creative teams is highly preferred.

Soft Skills

• Curious Problem-Solver: You ask the right questions, challenge assumptions, and think creatively about applying technology in new ways.
• Strong Communicator: Comfortable presenting to marketing leaders and simplifying technical details for varied audiences.
• Empathetic Listener: Able to understand the needs of marketing professionals and translate them into AI-enabled opportunities.
• Adaptable & Tech-Agnostic: Can evaluate and work across multiple GenAI platforms or vendors without attachment to a single stack.
• Self-Starter: Can work independently, take initiative, and drive projects from concept to outcome with minimal oversight.
• Collaborative Mindset: Enjoys working cross-functionally and knows how to influence without authority.

EXPERIENCE

• 3-4.5 Years

SKILLS

• Primary Skill: Data Science
• Sub Skill(s): Data Science
• Additional Skill(s): Data Science, Experience in Data Science

Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.