Senior Data Scientist

Company Name: Massive Dynamics, LLC Job Location: 1 Paler Square, Suite 530, Princeton, NJ 08542. Employer will allow a remote work schedule. Job title: Senior Data Scientist Salary: $125,000 - $175,000 per year Education: Master's degree in a Quantitative field, Engineering, Science, or related SOC Code: 15-2051 SOC Occupation Title: Data Scientists Duration: Regular Hire Work week: Full-time Supervision Experience Required: No Travel Required: Travel required semi-annual to Princeton, NJ lasting approximately 3 days each trip.

Experience: 2 years of expereince with data science and machine learning, or related. Requires skills and experience in the following: Proficiency in Python, SQL, Pandas, and version control tools such as Git. Experience working in Linux and virtual machine environments. Ability to perform statistical analysis and machine learning. Experience developing ETL workflows, APIs, data science applications, and frontend components using HTML and JavaScript. Experience analyzing large-scale structured datasets and developing data visualization and reporting solutions.

Knowledge of artificial intelligence, including the use of large language models (LLMs) services and APIs to develop AI-powered applications and workflows. Knowledge of mathematical optimization, constraint-based optimization, and integer programming methodologies. Job duties: Research, develop, and implement data science, machine learning, and optimization solutions supporting Trade Promotion Optimization (TPO) systems. Analyze large-scale business datasets to improve promotional planning, pricing strategies, forecasting, and decision-support capabilities.

Develop statistical models, optimization methodologies, and analytical workflows to evaluate promotional effectiveness, forecast outcomes, and enhance system performance. Research and implement mathematical formulations, business constraints, and algorithmic approaches to support scalable optimization solutions. Design and maintain data science applications, ETL processes, APIs, and analytical tools using Python, SQL, PostgreSQL, Pandas, Databricks, Git, and related technologies. Create data visualizations and reports to communicate insights and optimization results.

Conduct research involving artificial intelligence and agent-based AI systems to generate business insights and support decision-making. Develop AI-assisted workflows that help interpret analytical outputs and automate reporting. Perform testing, validation, and maintenance of analytical systems to ensure data quality, accuracy, security, and reliability. Collaborate with cross-functional teams and stay current on developments in machine learning, optimization, artificial intelligence, and data science. Send resume to . Standard empoyee benefis apply.