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Senior Data Scientist

Massive Dynamics, LLC

Princeton, NJ · HybridFull-time$125–175K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$125–175K/yr
Location
Princeton, NJHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Massive Dynamics seeks a Senior Data Scientist to develop data science, machine learning, and optimization solutions for Trade Promotion Optimization systems. The role analyzes business datasets, builds models and analytical workflows, and develops applications and AI-assisted reporting. It is based in Princeton, New Jersey, with a hybrid work arrangement and semi-annual travel to Princeton.

Skills & qualifications

RequiredNice to have

Skills

PythonSQLPandasVersion ControlGitLinuxVirtual MachinesStatistical AnalysisMachine LearningETL WorkflowsAPI DevelopmentData Science ApplicationsHTMLJavaScriptLarge-Scale Data AnalysisData VisualizationReporting SolutionsArtificial IntelligenceLarge Language ModelsMathematical OptimizationConstraint-Based OptimizationInteger Programming

Qualifications

Master's in Quantitative Field, Engineering, Science, or Related2 Years Data Science and Machine Learning Experience

Full job description

Compensation

$125,000.00 - $175,000.00 / Yearly

Hours Per Week

40

Number Of Positions

1

Job Description

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 [email protected].

Standard empoyee benefis apply.

Place of Work

Hybrid

Requisition ID

JWKLG-251

Application Email

[email protected]

How this job compares

Set against the 4,811 open Data Scientist jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This posting$125–175K/yr
  • New Jersey median$124–215K/yr79 salary ranges
  • US median$136–215K/yr3,690 salary ranges

This range's midpoint, $150K, is 12% below the New Jersey median midpoint ($170K) — in the middle half of Data Scientist salary ranges in New Jersey.

Openings
Olive Jobs lists 91 open Data Scientist jobs in New Jersey and 4,811 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New Jersey
Experience
This posting asks for at least 2 years of experience — less than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,123 postings).
Education
This posting asks for a master's degree; 616 of the 4,811 open Data Scientist jobs (13%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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