Job Description
Join Nexus Analytics as a Senior Data Scientist and transform complex data into actionable business intelligence. We're a cutting-edge fintech startup revolutionizing how enterprises leverage data-driven decision-making. You'll architect scalable ML solutions, drive predictive modeling initiatives, and collaborate with cross-functional teams to deliver measurable impact. Our culture values innovation, intellectual curiosity, and the power of data to shape the future.
Responsibilities
- Design and implement end-to-end machine learning pipelines for business-critical predictions
- Translate complex business problems into data-driven solutions using statistical modeling and AI
- Lead A/B testing frameworks and experimentation to optimize product features
- Collaborate with engineering teams to deploy models into production environments
- Present findings to executive stakeholders through compelling data visualizations
- Mentor junior data scientists and champion best practices in data governance
Qualifications
- 5+ years of experience in data science or analytics role with proven ML deployment track record
- Expert proficiency in Python, SQL, and statistical programming (R/SAS)
- Strong foundation in machine learning algorithms (random forests, neural networks, NLP)
- Experience with cloud platforms (AWS/GCP/Azure) and big data technologies (Spark, Hadoop)
- Advanced degree in quantitative field (MS/PhD in Statistics, Computer Science, or equivalent)
- Demonstrable ability to translate technical insights into business strategy