Senior Data Scientist
Newark, Essex County, New Jersey, 07175, USA
Listed on 2026-03-06
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
About the Role
As a Senior Data Scientist at Ninja One, you will play a critical role in accelerating business growth by applying advanced analytics and machine learning. You’ll work at the intersection of data, product, and go-to-market teams to build predictive models, experimentation frameworks, and actionable insights that directly influence revenue, customer acquisition, retention, and operational efficiency.
This role offers the opportunity to own high-impact initiatives end-to-end. Drive problem framing, model development, production deployment and business adoption while working on large-scale, real-world data in a fast-growing, product-led organization.
If you’re motivated by solving complex problems, shipping production ML, and seeing your work drive measurable business outcomes, this is a chance to make a massive impact at scale.
LocationWe are flexible on remote working from home, if you are located in the USA and reside in one of the following states
- CA, CO, CT, FL, GA, IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA
. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.
We hire the best software engineers, but experience in our stack can’t hurt:
Ninja One is built on Java
, Kotlin
, C++,
Golang and Postgres
; supporting millions of user endpoints and running as a scalable cloud service in AWS
. Knowing large-scale datastore bottlenecks, asynchronous application design and client-server architecture will help you.
- Design, build, and deploy advanced analytical models to drive insights and decision-making across sales, marketing, customer support, and product teams.
- Develop predictive models for forecasting, churn, lead scoring, pipeline health, customer lifetime value, and usage-based segmentation.
- Partner closely with stakeholders to translate business questions into data science problems, metrics, and experimentation strategies.
- Build scalable data pipelines and feature engineering workflows to support model training, inference, and real-time analytics.
- Create experimentation frameworks and run A/B tests to optimize marketing campaigns, product features, and support workflows.
- Implement causal inference and attribution models to measure campaign effectiveness and product adoption drivers.
- Lead data quality, validation, and governance efforts to ensure high trust in analytical outputs.
- Mentor junior data scientists and analysts, establishing best practices for modeling, experimentation, and documentation.
- Collaborate with engineering and operations teams to product ionize models and embed intelligence into core business systems.
- Other duties as needed
- Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field.
- 10+ years of experience applying data science, machine learning, and advanced analytics to business and product problems.
- Expert proficiency in Python and SQL for data analysis, modeling, and production ML workflows.
- Strong foundation in statistical modeling, machine learning, experimentation, and causal inference.
- Hands‑on experience deploying and operating production ML systems in cloud environments (AWS, Azure), including MLOps best practices.
- Previous experience working with large‑scale data pipelines and machine learning models.
- Mastery of Generative AI and Deep Learning frameworks.
Ninja One unifies IT to simplify work for more than 35,000 customers in 140+ countries. The Ninja One Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience jaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years.
WhatYou’ll Love
We are a collaborative, kind, and curious community.
We honor your flexibility needs with full-time work that is hybrid remote.
We have you covered with our comprehensive benefits package, which includes medical, dental, and…
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