Data Modeling and Insights Lead

Job Description:
An experienced data scientist who excels at turning data into actionable business insights. You have a natural ability to search for patterns and connections within data to identify trends, root causes, and solutions. You are logical and objective in your approach but also possess the unique skill of helping others understand how things can be done more effectively. You leverage AI modeling to test theories and drive improvements in processes.

The Work:
As part of the Center of Excellence (COE) team, you will play a crucial role in delivering best-in-class solutions for leaders, practitioners, and sales teams. You will generate business insights and build models that help improve processes, boost sales, and drive profitability.
Key Responsibilities:
ETL (Extract, Transform, Load) raw data from various business systems and transform it into structured formats for analysis and modeling.
Apply statistical methods, machine learning, and natural language processing (NLP) techniques to analyze data, identify patterns, and extract actionable insights.
Develop machine learning or deep learning models to address complex business challenges and implement/manage these models on cloud platforms.
Present findings to both technical and non-technical audiences in a clear, concise, and actionable way.
Identify and design potential Gen AI use cases by leveraging large language models (LLMs), conducting pilot projects to assess their feasibility and value.
Collaborate with cross-functional teams (data engineers, business stakeholders) to develop Gen AI-based solutions.
Ensure all data processes comply with privacy regulations and implement necessary data security measures.
Stay updated on the latest advancements in data science and generative AI technologies.
Analyze and combine diverse datasets (e.g., sales data, client feedback, marketing data) to drive actionable insights that align with client needs.
Develop predictive models using advanced machine learning techniques to guide business decisions.
Act as a technical lead, managing projects independently and mentoring team members as needed.
Skills and Qualifications:

Must Have:
Bachelor’s degree or equivalent experience in a related field.
Minimum of 5 years of experience in data science, with a focus on data analytics, predictive modeling, and machine learning.
Proficiency in Python, SQL, or R for data analysis and modeling.
Experience with machine learning, deep learning, and NLP techniques.
Strong communication skills, with the ability to present complex findings to both technical and non-technical audiences.

Good to Have:
Experience with Power BI for data visualization.
Knowledge of cloud platforms for deploying models.
Familiarity with data privacy regulations and security best practices.