Job Description
Join Nexus Analytics as a Senior Data Scientist and transform raw data into strategic business intelligence. We're seeking a visionary expert to architect cutting-edge ML solutions that drive measurable impact across fintech, healthcare, and e-commerce verticals. Collaborate with cross-functional teams to deploy predictive models, optimize algorithms, and deliver data-driven recommendations that shape our product roadmap. Enjoy competitive compensation, flexible work arrangements, and opportunities to present findings at global conferences.
Responsibilities
- Design and implement end-to-end machine learning pipelines using Python, TensorFlow, and PyTorch
- Analyze complex datasets to identify trends, patterns, and actionable business insights
- Develop statistical models for forecasting, classification, and optimization challenges
- Create interactive dashboards using Tableau and D3.js for executive decision support
- Lead A/B testing frameworks and conduct rigorous experimental analysis
- Mentor junior data scientists and establish best practices for data governance
- Present findings to C-level executives through compelling visual narratives
Qualifications
- Master's degree in Statistics, Computer Science, or related field (PhD preferred)
- 5+ years of experience in production-level ML model deployment
- Expert proficiency in Python, SQL, and distributed computing (Spark/AWS)
- Proven track record of developing recommendation systems or NLP solutions
- Strong foundation in Bayesian statistics and experimental design
- Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools
- Exceptional communication skills translating technical concepts to stakeholders
- Portfolio demonstrating published research or industry impact