Data Scientist, NinjaOne

$120-160k

SQL

AWS

GCP

Python

Tableau

Java

Kafka

Postgres

Airflow

Kotlin

Power BI

C++

Azure

NumPy

Pandas

Scikit-Learn

Senior and Expert level

Austin

Remote from US

More information about location

Endpoint IT management platform

Be an early applicant

Endpoint IT management platform

1001+ employees

B2BSecuritySaaSIdentityCloud Computing

Be an early applicant

$120-160k

SQL

AWS

GCP

Python

Tableau

Java

Kafka

Postgres

Airflow

Kotlin

Power BI

C++

Azure

NumPy

Pandas

Scikit-Learn

Senior and Expert level

Austin

Remote from US

More information about location

1001+ employees

B2BSecuritySaaSIdentityCloud Computing

Company mission

To simplify IT operations by automating real-time visibility, security, and control over all endpoints.

Job

Company

Role

Who you are

We hire the best software engineers, but experience in our stack can’t hurt:  NinjaOne is built on Java, Kotlin, C++, 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
Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or equivalent work experience preferred
5+ years of experience in data science, machine learning, and data engineering
Strong background in data science with experience applying machine learning and statistical models to real-world problems
Proficient in programming languages such as Python, SQL, R, or similar, and have experience with data analysis libraries (e.g., pandas, NumPy, Scikit-learn)
Excellent problem-solving skills, an analytical mindset, and a passion for transforming raw data into actionable insights
Experience with data visualization tools such as Tableau, Power BI, or Matplotlib
Solid understanding of algorithms, data structures, and statistics
Proficiency in cloud platforms like AWS, GCP, or Azure, and experience with tools like Airflow or Kafka for orchestrating data workflows

What the job involves

As a NinjaOne Data Scientist, you'll leverage advanced analytics and machine learning to transform complex data sets into actionable insights that drive business impact
You’ll collaborate with cross-functional teams to shape business strategies, optimize processes, and fuel data-driven decision-making that directly impacts our products and services
This is a unique opportunity to use cutting-edge technology and techniques to drive growth and enhance the overall NinjaOne experience
Data Analysis & Modeling: Design, develop, and implement machine learning models to solve complex business problems. Apply statistical methods, predictive models, and advanced algorithms to analyze data, uncover trends, and drive actionable insights
Data Exploration & Feature Engineering: Conduct exploratory data analysis (EDA) to identify hidden patterns and relationships in the data. Use feature engineering techniques to create meaningful variables that improve the performance and accuracy of your models
Collaboration: Partner closely with data engineers, product managers, and business analysts to fully understand data requirements. Collaborate on refining data-driven solutions that align with business objectives and drive continuous improvement across the organization
Other duties as needed

Our take

NinjaOne is an IT endpoint management platform that offers comprehensive solutions for managing and securing endpoints in an organisation's IT infrastructure.

The platform helps enhance security measures and ensure optimal performance across various endpoints through a variety of products from vulnerability patch management to cloud backups for multi-tenants. It is also able to protect users logging into IT systems remotely, making it a valuable option to the large roster of companies embracing remote work.

Since founding in 2013, NinjaOne has grown both its team and customer base substantially, and now serves the like of NVIDIA, Nissan and HelloFresh. A influx of funding has also allowed the company to hyper-focus on its customer support, especially in remote form, and continue to develop its products and automations.

Steph

Company Specialist at Welcome to the Jungle

Insights

Glassdoor (4.3)

Company

Funding (last 2 of 3 rounds)

Feb 2025

$500m

SERIES C

Feb 2024

$231.5m

SERIES C

Total funding: $761.5m

Company HQ

Waller Creek District, Austin, TX

Leadership

Sal Sferlazza

(Co-Founder & CEO)

Co-Founder and member of the Board of Directors for Boostlingo. Founder and Principal for LaunchCapital.co. Previously co-founded other companies including Realm Interactive/NCsoft and PacketTrap/Quest Software.

Christopher Matarese

(Co-Founder, President & CFO)

Serial entrepreneur. Co-founded Boostlingo, Launch Capital, Anchor and Bandera.

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