Data Scientist
The Senior Data Scientist at Confidential Client will design and optimize machine learning models, including deep learning architectures, to enhance real-time digital performance analytics. This role involves hands-on development of scalable AI solutions, leveraging AI-native tools to accelerate prototyping and collaborating with engineering teams to integrate models into production systems.
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 Networking Products; IT Services and IT Consulting.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring a Senior Data Scientist to design, build, and ship machine learning solutions that power a real-time analytics platform. This is a hands-on role for candidates who combine strong statistical foundations with production experience and who regularly use AI tools to accelerate development.
- Design, build, and optimize ML models across statistical ML and deep learning (CNNs, LSTMs, Transformers) for large-scale, real-time analytics.
- Build predictive models, anomaly detection, and automated alerting using time-series and other complex datasets.
- Implement end-to-end solutions: prototype (POC), iterate with AI-assisted tools (e.g., Claude, Cursor, GitHub Copilot), and productionize models.
- Process and analyze large-scale data using Ray and Spark; optimize for latency and throughput in real-time pipelines.
- Collaborate with engineering and product teams to integrate models into production services and monitoring systems.
- Contribute to AI roadmaps and design AI-driven alerts and automation to improve product outcomes.
- Stay current with AI/ML research and apply best practices for model generalization, observability, and reproducibility.
Qualifications
Minimum required (applicant must meet one of these):
- PhD in Computer Science, Statistics, or related field; OR
- MS + 5+ years applied ML / data science experience.
Technical skills and experience:
- Strong foundation in traditional ML: regression, classification, tree-based ensembles, clustering, dimensionality reduction.
- Deep learning experience: CNNs, RNNs/LSTMs, Transformers, attention mechanisms.
- Statistical modeling and algorithms: optimization, Bayesian/probabilistic modeling.
- Proficiency in Python for production-grade data science; experience with Scala or similar languages is a plus.
- Proven track record of shipping ML systems from prototype to scalable, production-integrated solutions.
- Experience using Ray and Spark for large-scale processing.
- AI-native developer: habitual, productive use of AI coding tools (e.g., Claude, Cursor, GitHub Copilot) for coding, debugging, and iteration.
- Strong communication skills and the ability to collaborate across product, engineering, and stakeholder teams.
- Comfort working in fast-paced, ambiguous environments.
Nice-to-have:
- Experience with real-time streaming systems and observability tooling.
- Familiarity with cloud ML infrastructure (AWS/GCP/Azure) and containerized deployments.
Compensation & Benefits
- Base salary range: $180,000 - $220,000 per year (range reflects base compensation; final offer dependent on skills, experience, and location).
- Full-time employees are eligible for Medical, Dental, Vision, 401(k) with company match, and commuter benefits (where applicable).
- Competitive paid time off and a supportive environment for professional growth.
Work Location & Employment Type
- Location: Foster City, CA (on-site role). Remote or hybrid arrangements will be noted separately if available.
- Employment type: Full-time (direct hire with Confidential Client via Careertakes).
Other Notes & Legal
- This posting follows inclusive hiring practices. We encourage applicants of all backgrounds to apply.
- Reasonable accommodations are available for applicants with disabilities during the hiring process — please notify us if you require assistance.
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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