Job Description
Join TechNova's elite Data Science team and transform raw data into strategic business gold. We're seeking a visionary Senior Data Scientist to architect cutting-edge solutions that drive innovation across fintech, healthcare, and e-commerce verticals. Collaborate with industry experts to build predictive models, optimize algorithms, and deliver actionable insights that shape our product roadmap. Enjoy a culture of continuous learning with dedicated R&D budgets, conference stipends, and mentorship from PhD-level researchers.
Your impact will directly influence 10M+ users through real-time analytics platforms and ML-powered recommendation engines. We offer flexible hybrid work, comprehensive health benefits, and equity packages for top talent. Ready to pioneer the future of data-driven decision-making? Apply now to join a team that's solving tomorrow's challenges today.
Responsibility
- Design and deploy production-grade ML pipelines using Python, TensorFlow, and PyTorch
- Develop statistical models for A/B testing, forecasting, and causal inference
- Translate complex business problems into data-driven solutions with measurable ROI
- Lead end-to-end data projects from hypothesis to deployment and monitoring
- Collaborate with engineering teams to integrate models into cloud-native architectures
- Mentor junior scientists and establish best practices for model validation
- Present findings to C-suite executives through compelling data visualizations
Qualification
- Master's or PhD in Statistics, Computer Science, or Quantitative field
- 5+ years building ML models at scale (SaaS experience preferred)
- Expert proficiency in Python (scikit-learn, pandas) and SQL
- Strong foundation in statistical analysis and experimental design
- Experience with cloud platforms (AWS/GCP/Azure) and big data tools
- Published research or patents in ML/NLP/Computer Vision
- Proven ability to communicate technical concepts to non-technical stakeholders