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Senior Data Scientist

Remote / Online - Candidates ideally in
Newark, Essex County, New Jersey, 07175, USA
Listing for: NinjaOne
Full Time, Remote/Work from Home position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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.

Location

We 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.

What You’ll Be Doing
  • 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
About You
  • 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.
Experience That Will Make You a Standout Candidate
  • Previous experience working with large‑scale data pipelines and machine learning models.
  • Mastery of Generative AI and Deep Learning frameworks.
About Us

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.

What

You’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…

Position Requirements
10+ Years work experience
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