- Company Name
- Western Digital
- Job Title
- AI Researcher
- Job Description
-
Job Title: AI Researcher
Role Summary: Evaluate and recommend AI solutions that enhance Sales and Marketing efficiency, reduce costs, and create revenue opportunities. Perform research on AI/ML capabilities, assess feasibility, quantify ROI, and translate findings into actionable strategies for development teams.
Expactations:
- Deliver data‑driven research briefs and business cases for leadership.
- Provide clear, prioritized AI recommendations for high‑ROI projects.
- Establish a repeatable evaluation framework for future AI initiatives.
Key Responsibilities:
- Conduct research on AI and ML techniques supporting sales funnel optimization, lead generation, workflow automation, and marketing analytics.
- Analyze current workflows and data usage to identify high‑ROI AI interventions.
- Score and prioritize potential projects based on feasibility, cost, impact, and data readiness.
- Collaborate with developers, analysts, and system owners to translate research insights into actionable system enhancements.
- Create research briefs, business cases, and recommendation documents for leadership.
- Propose AI frameworks for automated lead scoring, customer segmentation, predictive insights, content generation, and marketing efficiency.
- Evaluate vendor AI tools, platforms, and integrations; recommend build versus buy options.
- Develop an AI adoption roadmap aligned with business priorities and budget constraints.
- Keep current on industry trends, LLM advancements, and AI‑driven marketing technologies.
- Conduct ethical and risk assessments ensuring alignment with security and compliance standards.
Required Skills:
- Strong analytical and quantitative modeling skills (savings, revenue lift, efficiency gains).
- Proficiency with AI technologies: LLMs, GenAI platforms, embeddings, RAG systems, marketing automation tools.
- Ability to evaluate AI workflows, APIs, and vendor features for feasibility.
- Deep understanding of sales and marketing processes: funnel analytics, lead generation, audience segmentation, campaign optimization.
- Excellent documentation and communication; able to translate technical insights for non‑technical stakeholders.
- Cross‑functional partnership skills with product managers, developers, and business leaders.
Required Education & Certifications:
- Bachelor’s degree in Data Science, Computer Science, Applied Mathematics, Business Analytics, or related field.
- 5+ years of experience in AI research, marketing analytics, or sales operations research.