Senior Staff Data Scientist
The Senior Staff Data Scientist at Confidential Client leads the development and deployment of advanced machine learning models and AI agentic systems to drive critical business decisions across multiple domains. This role combines technical expertise with strategic partnership, collaborating closely with business teams to translate challenges into actionable AI solutions while managing the full data science lifecycle. The position requires strong programming skills, experience with generative AI, and the ability to communicate complex data insights effectively to stakeholders in a hybrid work environment.
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, Computer and Network Security.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
You will combine classical machine learning and applied AI to deliver high-impact solutions across the business. Working closely with product, finance, marketing, sales, and GTM teams, you will translate business problems into data-driven solutions and own projects end-to-end.
- Develop, productionize, and maintain classical ML models (churn, forecasting, demand planning, finance).
- Design, evaluate, and optimize generative-AI/agentic systems (LLM-based assistants, retrieval-augmented systems).
- Partner with business stakeholders to scope problems, define success metrics, and deliver actionable insights.
- Execute the full data‑science lifecycle: problem framing, feature engineering, model selection, training, rigorous evaluation, deployment, monitoring, and iteration.
- Build and maintain dashboards and visualizations (Tableau, Looker or code-based) to communicate model outputs and business impact.
- Ensure model reliability and guardrails for AI agents: performance testing, bias/robustness checks, and degradation monitoring.
- Mentor junior data scientists and help establish best practices for reproducible, maintainable ML in production.
Qualifications
Bold, practical experience that demonstrates your ability to lead data‑driven projects and ship production ML.
Required
- Bachelor’s degree plus 5+ years related experience; OR Master’s degree plus 3+ years; OR PhD in a quantitative field plus 1+ year (academic research counts).
- Strong foundation in statistics, probability, and common ML algorithms.
- Hands-on experience building and deploying ML models to production.
- Expert-level Python skills and familiarity with core libraries (scikit-learn, pandas, PyTorch/TensorFlow, XGBoost).
- Strong SQL skills for complex data exploration and transformation.
- Experience creating dashboards in Tableau, Looker, or similar.
- Proven ability to work autonomously, prioritize in ambiguous settings, and deliver business outcomes.
Preferred
- Direct, hands-on experience with generative AI and LLM tooling (LangChain, LlamaIndex, Hugging Face ecosystem).
- Experience evaluating and optimizing AI/agentic systems for accuracy, latency, and reliability.
- Advanced modeling skills in causal inference, time-series forecasting, or MMM/mix modeling.
Compensation & Benefits
The offered compensation depends on experience and work location. For candidates who receive an offer at the posted level, the expected base salary range is:
- $125,600 — $203,125 per year
The total package may include restricted stock units and performance bonuses. Benefits and detailed program information will be shared with candidates as part of the hiring process.
Location & Work Model
- This is an in-office role (hybrid): expected onsite presence ~3 days/week at the Santa Clara, CA office.
- Candidates must be eligible to work in the U.S.; the role is noted as eligible for immigration sponsorship where applicable.
Additional Details
- Employment type: Full-time.
- This opportunity is listed by Careertakes as a third-party recruiting partner. Final hire and employment are with our confidential client.
- Reasonable accommodations are available for qualified candidates. Please contact Careertakes if you need accommodation during the hiring process.
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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