Role: Sr. Data Scientist/Lead Data Scientist Location - Mason Ohio - Onsite (Day 1)
Required Skillsets:
Analytics, Machine Learning, Optimization Full-stack data science
Exposure to deep learning, reinforcement learning and neural networks
Hands on experience in both open source and closed source LLM is must should know
Prompt engineering, RAG framework, langchain, llamaindex
NLP skills are required
Hands on Linux, python, and open-source skills are required
Databricks, MLOps, High-performance data engineering, and Security knowledge preferred
Responsibilities:
Excellent problem-solving, Critical, and Analytical thinking skills
Proficient in Data fetch, data merge, data wrangling, exploratory data analysis, and feature en SQL Skills with working knowledge of machine learning algorithms
Drive client engagement fully and align the development team toward a technical roadmap
Led teams of data scientists to achieve project outcome
Implements analytical requirements by defining and analyzing system problems, designing an Develops solutions by preparing and evaluating alternative workflow solutions
Determines operational objectives by studying business functions; gathering information; eval Designs new analytical solutions by analyzing requirements; constructing workflow charts andspecifications
Improves systems by studying current practices, designing modifications
Recommends controls by identifying problems, writing improved procedures
Defines project requirements by identifying project milestones, phases, and elements; forming Monitors project progress by tracking activity; resolving problems; publishing progress reports Maintains system protocols by writing and updating procedures
Provides references for users by writing and maintaining user documentation; providing help d Maintains user confidence and protects operations by keeping information confidential
Prepares technical reports by collecting, analyzing, and summarizing information and trends
Maintains professional and technical knowledge by attending educational workshops; reviewinnetworks; benchmarking
state-of-the-art practices; participating in professional societies