Job Description
Are you ready to redefine the boundaries of predictive modeling? Nexus Analytics Labs is seeking a visionary Senior Data Scientist to lead our core AI initiatives. You will work at the intersection of big data, machine learning, and high-stakes business strategy, transforming raw datasets into actionable intelligence that drives global product decisions.
We offer a dynamic, collaborative environment where your technical prowess will directly shape the future of our machine learning infrastructure.
Responsibilities
- Architect and deploy scalable machine learning models to solve complex business problems.
- Collaborate with cross-functional teams to identify and translate business requirements into technical data pipelines.
- Conduct deep-dive exploratory data analysis to uncover hidden trends and consumer behaviors.
- Mentor junior data scientists and contribute to a high-performance engineering culture.
- Design and execute rigorous A/B testing frameworks to validate model performance and feature impact.
- Present actionable insights and high-level strategy recommendations to executive stakeholders.
- Maintain and optimize production-grade code for model training and inference.
Qualifications
- Master’s or PhD in Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, specifically in a production-focused environment.
- Advanced proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
- Hands-on experience with cloud computing platforms (AWS, GCP, or Azure).
- Proven track record of deploying deep learning models using frameworks like PyTorch or TensorFlow.
- Expertise in experimental design, statistical hypothesis testing, and causal inference.
- Exceptional verbal and written communication skills with the ability to explain complex concepts to non-technical audiences.