Job Description
Join Nexus Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to transform complex datasets into strategic business insights that drive growth and operational excellence. In this pivotal role, you'll leverage advanced statistical modeling and machine learning to solve high-impact challenges across our fintech portfolio. Our collaborative environment values curiosity, creativity, and the courage to pioneer new analytical approaches. Enjoy competitive benefits, flexible work arrangements, and opportunities to present findings at industry conferences. Shape the future of data science with a team that celebrates intellectual curiosity and measurable impact.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive modeling and anomaly detection
- Collaborate with cross-functional teams to translate business objectives into analytical frameworks
- Conduct A/B testing and causal inference analysis to drive product optimization
- Develop interactive dashboards using Tableau and Power BI for executive decision support
- Mentor junior data scientists and champion best practices in data ethics and governance
- Present findings to C-level stakeholders through compelling data narratives
Qualifications
- Master's degree in Data Science, Statistics, Computer Science, or related field
- 5+ years of experience in applied data science with proven portfolio of deployed models
- Expertise in Python (scikit-learn, TensorFlow), SQL, and cloud platforms (AWS/GCP)
- Strong statistical foundation in hypothesis testing, regression analysis, and experimental design
- Experience with big data technologies (Spark, Hadoop) and real-time data processing
- Demonstrated ability to communicate complex technical concepts to non-technical audiences
- Published research or conference presentations in data science/analytics