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Senior Data Scientist

  • Company: Get A Job.ai
  • Location: USA
  • Salary: Pay not listed
  • Work type: Remote

Website Get A Job.ai

Represented by Get A Job.ai

About This Opportunity

We are representing a confidential cybersecurity organization seeking a Senior Data Scientist to advance machine learning and AI capabilities within their threat detection platform. This is an applied data science role focused on analyzing large-scale network telemetry, developing methods to identify malicious behavior, and improving detection accuracy across their security products.

You'll work on ambiguous, high-impact problems using statistical analysis, experimentation, and machine learning. Collaborating closely with other data scientists, threat researchers, and engineers, you'll translate research into reliable product capabilities that protect organizations from cyber threats in real time.

Responsibilities

  • Analyze large-scale network telemetry to identify behavioral patterns, anomalies, and signals associated with malicious activity
  • Design, develop, and refine machine learning and AI-based methods that support cybersecurity products
  • Develop evaluation methods appropriate for cybersecurity data, including highly imbalanced datasets, incomplete labels, rare events, and changing attacker behavior
  • Conduct exploratory data analysis, feature engineering, model development, and error analysis using complex, high-volume datasets
  • Research emerging machine learning and AI techniques and assess their applicability to threat detection use cases
  • Establish metrics and monitoring strategies for measuring model and detector performance over time
  • Communicate findings, limitations, tradeoffs, and recommendations clearly to technical stakeholders and product leaders
  • Provide technical leadership and mentorship to other data scientists through code reviews, design discussions, and contributions to analytical and engineering standards
  • Document methodologies, experiments, model behavior, and evaluation results
  • Write clean, maintainable, and well-tested production-quality code

What We're Looking For

Required Qualifications:

  • Bachelor's degree in Data Science, Computer Science, Mathematics, or another quantitative discipline, or equivalent practical experience
  • 7+ years of professional experience in data science, including developing and evaluating machine learning models for real-world use cases
  • Strong foundation in statistics, experimental design, machine learning, and model evaluation
  • Experience working with incomplete, noisy, or highly imbalanced data; performing detailed error analysis; and identifying causes of false positives and false negatives
  • Strong proficiency in Python and SQL, with experience using common data science and machine learning libraries
  • Experience collaborating with software engineers to integrate data science methods into production systems
  • Strong problem-solving skills, intellectual curiosity, and a track record of independently owning complex technical work
  • Excellent written and verbal communication skills, including ability to explain technical findings and tradeoffs to varied audiences

Preferred Qualifications:

  • Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, or another quantitative discipline
  • Experience applying data science or machine learning to cybersecurity, fraud detection, abuse detection, anomaly detection, or another adversarial domain
  • Familiarity with network protocols, threat detection, or incident investigation
  • Experience with time-series analysis, anomaly detection, clustering, graph analytics, or unsupervised and semi-supervised learning
  • Experience evaluating models in domains where positive examples are rare, labels are incomplete, and underlying behavior changes over time
  • Experience with generative AI, large language models, agentic systems, or other emerging AI techniques
  • Familiarity with cloud platforms such as AWS or GCP

How We Work With You

When you apply through Get A Job.ai, our talent team reviews your profile and conducts an initial screening to understand your background and career goals. If there's a strong match, we submit your candidacy to our client for consideration. Throughout the interview process, we provide guidance and support to help you succeed.

Please apply exclusively through Get A Job.ai. Do not contact the client directly, as doing so may disqualify your application.

Pay

Pay via Get A Job.ai: $165,000 - $180,000 USD plus bonus and benefits.

Location: USA (hybrid/remote work model available)

Employment Type: Full-time

Equal Opportunity

Get A Job.ai is committed to creating a diverse and inclusive environment. We are an equal opportunity employer and encourage applications from candidates of all backgrounds.

Apply with Get A Job.ai

A recruiter will review your profile and submit you to the client. Do not contact the client directly.

More options

Apply with Get A Job.ai

Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.

Apply through Get A Job.ai. A recruiter will review your profile and submit you.

Terms used in this posting

hybrid
A work arrangement combining both in-office and remote/at-home work, typically on a set schedule.

Working in USA

The United States of America (USA), also known as the United States (U.S.) or America, is a country primarily located in North America. It is a federal republic consisting of 50 states and a federal capital district, Washington, D.C. The 48 contiguous states border Canada to the north and Mexico to the south, with the semi-exclave of Alaska in the northwest and the archipelago of Hawaii in the Pacific Ocean. The United States also asserts sovereignty over five major island territories and various uninhabited islands in Oceania and the Caribbean. It is a megadiverse country, with the world's th

🇺🇸 Relocation safety for US: Exercise Normal Cautionvia Warnely, CC BY 4.0

National unemployment rate in US: 4.2%via World Bank

National job openings rate: 4.4%via BLS JOLTS

Private-sector wage growth (year over year): 3.1%via FRED

National quits rate: 2.0%via FRED (BLS JOLTS)

Weekly initial unemployment claims: 206,000via FRED

GDP per capita in US: $90,027via World Bank

Consumer price inflation in US: 2.9% (annual) — via World Bank

Real GDP growth in US: 2.2% (annual) — via World Bank

Average hours worked per year in US: 1,800via OECD

    About this role & career path

    Traits that fit this role

    • Innovation
    • Achievement Orientation
    • Intellectual Curiosity
    • Integrity
    • Attention to Detail

    Source: O*NET Work Styles (Distinctiveness Rank).

    Typical preparation needed: Job Zone 4: Considerable Preparation Needed. Most of these occupations require a four-year bachelor's degree, but some do not. — via O*NET

    Industry news

    Source: O*NET (public-domain bulk data)

    Salary & compensation

    Workers in Computer & Mathematical occupations earn a national median of $98,769via US Census ACS / Data USA

    Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.

    Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.

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    Listing facts

    • Role Senior Data Scientist
    • Employer Get A Job.ai
    • Location USA · Remote-friendly
    • Type Full Time
    • Pay (from listing) Pay not listed
    • Posted September 11, 2026
    • Apply by October 11, 2026
    • Country United States
    • Overview Full job description on this page (600 words)

    Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

    Typical work in Data Scientist

    Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.

    • Analyze, manipulate, or process large sets of data using statistical software.
    • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
    • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
    • Clean and manipulate raw data using statistical software.
    • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
    • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.

    Source: O*NET

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