Job Description
Are you ready to redefine the boundaries of predictive modeling? Nexus Analytics Group is seeking a visionary Senior Data Scientist to lead our high-impact data initiatives. You will work at the intersection of machine learning, statistical modeling, and business strategy, transforming raw data into actionable intelligence that drives global decision-making.
We offer a collaborative culture, cutting-edge tech stacks, and the opportunity to build models that serve millions of users daily.
Responsibilities
- Develop, deploy, and scale production-grade machine learning models to solve complex business problems.
- Collaborate with cross-functional product and engineering teams to define data strategy and KPIs.
- Perform deep-dive exploratory data analysis to uncover hidden trends and actionable insights.
- Mentor junior data scientists and contribute to the technical excellence of our data architecture.
- Design and implement A/B testing frameworks to validate model performance and business impact.
- Communicate technical findings to non-technical stakeholders through compelling data storytelling.
- Stay abreast of state-of-the-art developments in AI/ML to continuously improve our internal capabilities.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, predictive modeling, or machine learning engineering.
- Expert-level proficiency in Python or R and SQL.
- Hands-on experience with cloud-based ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
- Deep understanding of model evaluation metrics, feature engineering, and statistical inference.
- Proven ability to translate business requirements into technical data projects.
- Excellent communication skills with the ability to influence senior leadership.