Data Scientist

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: PhD in Computer Science, Statistics, or related field; OR 5+ years applied ML / data science experience with an MS degree.
• 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.
• Communication skills and collaboration: Strong communication skills and the ability to collaborate across product, engineering, and stakeholder teams.
• Comfort with ambiguity: 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).
• Benefits: Full-time employees are eligible for Medical, Dental, Vision, 401(k) with company match, and commuter benefits (where applicable).
• Paid time off: Competitive paid time off and a supportive environment for professional growth.
• 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.