Lead Data Scientist

* ** Search AI/ML Models :
** Strong track record to deploy Search related ML models in large industrial /automobile / Manufacturing parts application (Learning-Rank, Lambda MART, Deep Ranking Models )
* ** Generative AI & LLMs:
** Proficiency in Fine-tuning and Prompt Engineering for Large Language Models, specifically using Retrieval-Augmented Generation (RAG), Indexing models BM25, Sematic Retrieval, Query rewrite etc
* ** ML Platform

Experience:

** Proven ability to work with large-scale search logs, Product data and build robust future/label pipelines and deploy models thru MLOps/ML platforms and API’s in Cloud environment (AWS/Azure/GCP)
* ** Business Statistics:
** Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
* ** Analytical Thinking:
** Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
* ** Programming

Languages:

** Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms to write and modify programming languages.
* ** Requirements Analysis:
** Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
* 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 (Num Py, Sci Py, 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 Git Hub
* Experience operating in an Agile environment
* Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
* Medical, dental, and vision benefits
* Paid time off plan (Vacation, Holidays, Volunteer, etc.)
* 401(k) savings plans
* Health Savings Account (HSA)
* Flexible Spending Accounts (FSAs)
* Health Lifestyle Programs
* Employee Assistance Program
* Voluntary Benefits and Employee Discounts
* Career Development
* Incentive bonus
* Disability benefits
* Life Insurance
* Parental leave
* Adoption benefits
* Tuition Reimbursement
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