Job Description
Join Nexus Analytics at the forefront of data-driven innovation as we revolutionize how global enterprises leverage predictive insights. Our award-winning team builds cutting-edge machine learning solutions that directly impact strategic decision-making. We're seeking a passionate Senior Data Scientist to architect and deploy advanced analytics platforms that transform complex datasets into actionable business intelligence. This hybrid role combines deep technical rigor with collaborative problem-solving in a dynamic, fast-paced environment.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive modeling and anomaly detection
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions
- Lead A/B testing frameworks and statistical analysis for product optimization initiatives
- Develop real-time data processing architectures using cloud-native technologies (AWS/GCP)
- Create compelling data visualizations and executive dashboards using Tableau/Power BI
- Mentor junior data scientists and establish best practices for model validation
Qualifications
- Master's degree in Statistics, Computer Science, or related quantitative field (PhD preferred)
- 5+ years of hands-on experience with Python/R and SQL for large-scale data manipulation
- Expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and statistical modeling
- Proven track record deploying production-grade ML solutions in cloud environments
- Strong business acumen with ability to translate technical results into strategic recommendations
- Experience with distributed computing (Spark, Hadoop) and big data technologies
- Excellent communication skills with executive stakeholder experience