Job Description
Join Nexus Analytics at the forefront of data innovation as we revolutionize how global enterprises leverage AI-driven insights. Our award-winning team builds scalable machine learning pipelines that transform terabytes of raw data into strategic business advantage. This role offers unparalleled exposure to cutting-edge technologies in a collaborative environment where your expertise directly shapes product roadmaps and client success stories.
Responsibilities
- Design and implement end-to-end machine learning solutions for predictive analytics and business intelligence
- Develop statistical models to uncover actionable patterns in large-scale datasets
- Create data visualization dashboards using Tableau/Power BI for executive decision-making
- Collaborate with engineering teams to deploy models into production environments
- Lead A/B testing frameworks to validate data-driven hypotheses
- Mentor junior analysts and present findings to C-level stakeholders
Qualifications
- 5+ years in data science with proven experience in Python, SQL, and cloud platforms (AWS/GCP)
- Advanced degree in Statistics, Computer Science, or related quantitative field
- Expertise in statistical modeling (regression, time series, NLP) and ML frameworks (TensorFlow/PyTorch)
- Portfolio demonstrating complex data projects with measurable business impact
- Strong communication skills translating technical insights to non-technical audiences
- Certification in Google Cloud Data Engineer or AWS Data Scientist preferred