Define and implement a long-term technical vision for the search platform to ensure scalability and adaptability to growing data volumes and query complexity.
Mentor and guide a team of search engineers through technical reviews, best practices, and collaborative problem-solving.
Introduce advanced capabilities such as NLP, vector search, and personalization to enhance relevance and accuracy.
Build search capabilities with measurable KPIs (e.g., CTR, Query Distribution, Zero Search) and leverage analytics to continuously improve search performance.
Partner with product managers, data scientists, and engineering teams to align search initiatives with business objectives
Profile and tune deep learning algorithms for maximum search efficiency for keyword matching, user data and behavior, preferences, popularity, and more.
Profile the end-users’ behaviors and signals and fine-tune models to reflect to rearrange the search facet values
Leverage AI/MI/LLM models to Discern User Intent and capture in relevant search categories
Build fitment recommendations with engineering information
Enhance the search with segmentation, ML based recommendation models, PFM – SSL models and Implicit Personalization models.

Requirements

Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree
Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.
Extensive experience with advanced data analysis, machine learning such as clustering, Log regressions, neural nets and statistical methods such as statistical process control, etc. (typically 5+ years)
Experience in practical applications of onboard architecture / software (e.g. mini projects using Raspberry Pi or any other architecture is a bonus)
Working experience with heavy equipment engineering or data analysis.
Familiarity with A/B testing frameworks for evaluating and improving model-driven features - nice to have
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)
Advanced experience with version control / repositories such as GitHub
Experience operating in an Agile environment
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonNumPySciPypandasmachine learningclusteringlogistic regressionneural networksstatistical process controldeep learning algorithms

Soft Skills

mentoringcollaborative problem-solvinginitiativeinterpersonal skillseffective communication