Staff Data Scientist
The Staff Data Scientist at Confidential Client leads the research, development, and implementation of advanced statistical and machine learning models to assess and predict cybersecurity risks. This role involves enhancing security rating methodologies, integrating diverse data sources, and collaborating cross-functionally to deliver scalable, explainable, and data-driven cybersecurity solutions. The position emphasizes innovation in AI technologies and requires strong expertise in quantitative methods and software development to support Confidential Client's cyber risk management platform.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Software Development.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
As a Staff Data Scientist for our confidential client you will design, validate, and ship advanced statistical and machine‑learning solutions that quantify and predict cybersecurity risk. You will translate research into scalable production systems and partner with engineering, product, and customer teams to make data‑driven decisions.
- Research, develop, validate, and deploy statistical and ML methodologies for cybersecurity risk assessment and prediction.
- Maintain and improve the client’s security rating and risk‑vector scoring methodologies to ensure accuracy, robustness, and explainability.
- Identify and integrate new cybersecurity, threat intelligence, and firmographic data sources to improve model signal.
- Evaluate and apply emerging AI/ML techniques to solve complex cyber problems and accelerate model development.
- Write, test, and document production‑quality code for models, scoring algorithms, and data pipelines.
- Monitor model performance in production, investigate anomalies, and implement retraining or enhancements as needed.
- Communicate technical work clearly to engineering, product, and non‑technical stakeholders; contribute to internal and customer‑facing documentation.
- Anticipate product‑level technical issues and propose design decisions that mitigate risk.
Who You Are
The confidential client is looking for a technically strong, curious, and collaborative data scientist with demonstrated modeling experience and the ability to operationalize solutions.
- MS in Statistics, Applied Mathematics, Computer Science, Physics, Engineering, or related quantitative field is required; PhD preferred.
- Minimum of 1 year of equivalent industry experience at the staff level.
- Experience modeling rare events, time‑to‑event outcomes, or low‑base‑rate risk phenomena is highly desirable.
- Strong coding skills: Python or R, SQL, Git; familiarity with software SDLC, package/library development, and shell/bash.
- Experience with big data stacks (Spark/Hadoop) and cloud platforms (AWS preferred).
- Applied machine learning expertise: predictive modeling, statistical analysis, model validation, and interpretability/explainability techniques.
- Practical ability to manipulate, clean, and combine large, complex, disparate datasets.
- Experience with data visualization and reporting tools.
- Familiarity with using AI‑assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) to accelerate coding, testing, and review.
- Excellent communication skills and proven ability to work cross‑functionally.
Compensation & Benefits
The anticipated hiring base salary range for this position is 125,000.00 - 189,000.00 USD Annual for U.S.-based employees. This range reflects the minimum and maximum target for new hire salaries for the position across all U.S. locations, is based on a full‑time work schedule, and is the confidential client’s good‑faith estimate as of the date of this posting. Individual pay within the range will be determined by work location, job‑related skills, experience, and relevant education or training.
- Eligible for participation in bonus or commission plans and equity grants (where offered).
- Competitive benefits package typically includes medical, dental, and vision insurance; paid parental leave; flexible time off; 401(k) options; life and disability insurance; and tuition reimbursement. Final benefits are determined by the confidential client.
Location & Workplace
Location: Boston, MA (employment will be with the confidential client). Work arrangement (onsite, hybrid, or remote options) may vary by role and will be determined by the confidential client and applicable local law.
Legal & Accessibility Notes
The confidential client is committed to fair and inclusive hiring. Qualified applicants with criminal histories will be considered pursuant to applicable law. The confidential client provides reasonable accommodations to qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. If you need to inquire about a reasonable accommodation, please contact recruiting@confidentialclient.com (accommodation inquiries only).
This role may use AI‑assisted tools during the interview or hiring process; final hiring decisions are made by people.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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