Data Science, AI and Business Analyst

Coherent

21h•Hybrid

About The Position

This role involves analyzing business requirements and converting them into Machine Learning/Generative AI problems. The position requires assessing business process and data flow, identifying needed data features and labels, and extracting, transforming, and integrating data from multiple sources into a Data Model. The successful candidate will transform large amounts of data into compelling visual stories for analysis and decision-making, use proprietary datasets for training sets and correlation, and develop dashboards with interactive data visualizations. Responsibilities also include predicting outcomes using experimental design and statistical methods, building models with Machine Learning and Generative AI techniques, and assisting in benchmarking and quantifying improvements in Generative AI models.

Requirements

Bachelor’s degree in computer science or related field
Knowledge of Advanced Predictive Analytics including an exposure to areas such as AI, Deep Learning, Intelligent Bots, Reinforcement Learning, Neural Networks.
Experience in Data Acquisition/Integration
Knowledge of data science technologies such as R, Octave, Python, pandas, scipy, numpy, matplotlib, etc.
Data Science visualization tools (Tableau, Superset, PowerBI, etc.) as well as traditional Reporting/BI tools.
Knowledge of Advanced Predictive Analytics including an exposure to areas such as AI, Deep Learning, Intelligent Bots, Reinforcement Learning, Neural Networks.
Knowledge Exploratory data analysis, statistical analysis like sampling, hypothesis testing, central limit theorem, Machine Learning, Deep learning regression and classification models
Working knowledge in Generative AI tech stack (Prompt engineering, ChatGPT, Llama, Gemini, RAG etc)
Expertise in Python programming language
Experience with Relational and non-relational databases

Responsibilities

Analyze the business requirements and converting the requirement into Machine learning/Generative AI problem
Assess and evaluate the Business Process Flow and Data Flow.
Identify the needed data features and labels
Extract, Transform, Integrate data from multiple data sources into a Data Model
Transforming large amount of data into compelling visual stories to facilitate analysis and decision making.
Using large proprietary datasets to conduct training sets and correlation.
Develops dashboards with rich interactive data visualizations to illustrate the value of bringing the data.
Predict outcomes based on rigorous experimental design and statistical methods.
Building related models by using Machine learning and Generative AI techniques
Assist in benchmarking and quantifying improvements in Generative AI models.