Data Scientist - TM

Model Development & Engineering

• Design, build, optimize, and deploy complex machine learning models, predictive algorithms, and statistical models.
• Manage the end-to-end data science lifecycle, including exploratory data analysis, feature engineering, model development, deployment, and monitoring.
• Identify and resolve algorithmic bias, model performance issues, and production bottlenecks.
• Ensure models are accurate, robust, scalable, and suitable for production environments.

Generative AI & LLM Implementation

• Develop and implement Generative AI solutions to address complex business problems.
• Work with Large Language Models (LLMs), including prompt engineering, output optimization, and fine-tuning where applicable.
• Design and implement RAG (Retrieval-Augmented Generation) solutions.
• Explore and integrate advanced NLP techniques for data extraction, automation, and decision-making.
• Work with Agentic AI frameworks, such as LangGraph, to build intelligent AI workflows and applications.

Strategic Insights & Communication

• Translate complex statistical analysis and model outputs into clear and actionable business recommendations.
• Collaborate with business leaders to identify high-impact AI and Data Science opportunities.
• Define KPIs and success metrics for AI/ML models and solutions.
• Prepare and present technical findings and recommendations to senior leadership and cross-functional stakeholders.
• Act as a subject matter expert in Data Science, Machine Learning, Generative AI, and AI ethics.

We are seeking a highly skilled and experienced Data Scientist - TM to join our growing team. The ideal candidate will be a data-driven problem solver with strong expertise in machine learning, statistical modeling, Generative AI, and Large Language Models (LLMs)., * Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Physics, or a related quantitative discipline.

• 6-10 years of progressive experience in Data Science, with significant experience in a senior or staff-level role.
• Proven experience developing and deploying Generative AI or LLM-integrated production systems.
• Strong proficiency in Python and machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn.
• Hands-on experience with Agentic AI frameworks, such as LangGraph.
• Strong knowledge of statistical modeling, time-series modeling, experimental design/A-B testing, and causal inference.
• Experience working with large datasets, distributed computing technologies such as Spark, and data warehousing concepts.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences., * Prior experience working within Google and PLX environments.
• Experience with GCP, Vertex AI, and MLOps frameworks.
• Knowledge of data governance, AI safety, and data security best practices.

About Aceolution

201-500 Franklin Township