Data Scientist - Washington, DC

N-able; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A global software company is seeking a talented data practitioner for their Data Science team. The role focuses on developing machine learning solutions for cybersecurity, including real-time anomaly detection in security events. The ideal candidate will have a strong background in probability and linear algebra, and be proficient in Python. The position offers flexible working arrangements and various employee benefits, catering to a diverse and collaborative team environment.

Benefits

Medical, dental, and vision insurance

Generous PTO

Pension Plan with company contribution

Employee Stock Purchase Program

Discounted gym access

Qualifications

• Strong understanding of probability theory and statistical inference.
• Comfort with linear algebra concepts.
• Ability to reason through uncertainty and noise in real-world datasets.
• Familiarity with anomaly detection methods.

Responsibilities

• Design, prototype, and deploy statistical and machine learning models for real-time anomaly detection.
• Apply Bayesian inference and probabilistic modeling.
• Work with large-scale, high-dimensional event data.
• Collaborate with Senior Engineers to improve detection fidelity.

Skills

Mathematical probability

Linear algebra

Python

Problem-solving mindset

Tools

NumPy

Pandas

scikit-learn

AWS

Job description

Why N-able

IT doesn’t get better than this! N-able isn’t just another software company – we’re going places, and we’d love for you to be a part of that journey. With N-ablites in 15 countries around the world, you’re adding your unique voice to a diverse team of people who are supporting our customers, and one another. Join a team where you can make a difference!

If you are an affable and talented data practitioner with excellent attention to detail who enjoys a flexible, fast-paced work environment, the N-able Data Science team is the place for you! We are a cloud-native, machine learning-empowered, one-stop cybersecurity solution that combines event monitoring, threat detection, and incident response. Our clients range from small regional financial institutions to multinational corporations.

The Data Science team collaborates with the broader Engineering organization to automate the ingestion of security logs into the cloud and builds machine learning solutions for empowering IT security. These applications have immediate impact on clients, allowing effective monitoring of billions of log messages and highly informative alerts on events that warrant further investigation. We build intrusion detection systems that don’t just match patterns — they reason about behavior. Our models learn to catch subtle and novel threats by understanding the statistical, geometric, and semantic structure of network activity, not just replaying yesterday’s rules. You’ll be working on the front lines of applied machine learning for cybersecurity, where your models will make real decisions that stop real intrusions.

Note: this role is open to candidates in Washington, DC only.

What You\'ll Do

Your models will help detect live threats — not just optimize a metric. You’ll see your ideas go from whiteboard to production in weeks and months, not years. We value creative solutions, not just the “standard” way of doing things.

Our ideal teammate will bring strong mathematical probability and linear algebra intuition for building anomaly detection models that catch rare, novel, and unexpected behaviors in massive streams of security events. Prior experience in cybersecurity is not needed — if you can think rigorously about uncertainty, high-dimensional geometry, and how to represent data for modeling, we will teach you the threat landscape.

• Design, prototype, and deploy statistical and machine learning models for real-time anomaly detection in intrusion detection systems
• Apply Bayesian inference, probabilistic modeling, and dimensionality reduction to detect novel attack patterns
• Work with large-scale, high-dimensional event data (e.g., authentication logs, DNS, process creation)
• Explore embeddings and representation learning to capture behavioral meaning in raw security events
• Collaborate with Senior Engineers and threat hunters to deploy models at scale, evaluate model output, and improve detection fidelity
• Own your work from concept to deployment — your models will ship and be used in production

What You\'ll Bring

• Strong understanding of probability theory and statistical inference
• Comfort with linear algebra concepts: vector spaces, projections, eigenvalues/eigenvectors, matrix factorization
• Ability to reason through uncertainty and noise in real-world datasets
• Proficiency in Python (NumPy, Pandas, scikit-learn, or similar)
• Problem-solving mindset — able to design approaches from first principles
• Solve technical challenges specific to keeping machine learning applications compatible with the cloud architecture in place, being especially mindful of compute capacity optimization issues inherent in the platform
• Utilize AWS services such as Lambda, Batch, and SageMaker as building blocks for the functions listed above
• Write documentation and perform monitoring and performance evaluation on models under ownership and recommend development plans for future iterations and patches
• Develop and maintain cloud-based platforms for safely testing new algorithms prior to deployment and for change management
• Influence peers and leadership to advance promising solutions

Bonus Skills

• Experience with anomaly detection methods — statistical, unsupervised, or deep learning-based
• Familiarity with representation learning, embeddings, or neural networks
• Experience with PCA, t-SNE, UMAP, autoencoders, or other dimensionality reduction methods
• Prior exposure to security data (SIEM, EDR, network logs, etc.)

Purple Perks

• Medical, dental and vision – for employee, partner, and children!
• Generous PTO and observed holidays
• 2 PaidVoluNteerDays per year
• Pension Plan with company-contribution
• Employee Stock Purchase Program
• Discounted gym access at several local facilities
• FuN-raising opportunities as part of our givingprogram
• N-ablite Learning – custom learning experience as part of our investment in you
• The Way We Work – our hybrid working model based on trust and flexibility

About N-able

At N-able, Inc. (NYSE: NABL), we are a global software company that turns IT possibilities into capabilities. We partner with technology leaders who support companies around the world by offering secure infrastructure and tools to navigate their evolving IT needs. We build strong relationships with our customers to help them thrive at every stage of growth, and at the heart of this effort is our network of N-ablites—a global team of extraordinary, diverse creators who are dedicated to making a difference in how our partners do IT.

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