Job Description
Are you ready to redefine the future of predictive modeling? Nexus Analytics Labs is seeking a visionary Senior Data Scientist to join our elite AI research team. You will lead high-impact projects, transforming complex raw data into strategic business intelligence that powers our global product roadmap.
We are looking for a hands-on expert who thrives at the intersection of machine learning, statistical rigor, and scalable engineering. If you are passionate about solving the industry's most challenging problems through data-driven innovation, we want to hear from you.
Responsibilities
- Architect and deploy end-to-end machine learning models in a production environment.
- Collaborate with cross-functional product teams to identify opportunities for data-driven optimization.
- Perform deep-dive exploratory data analysis to uncover hidden trends and performance bottlenecks.
- Mentor junior data scientists and contribute to the technical excellence of the engineering team.
- Develop robust A/B testing frameworks to validate hypotheses and measure feature impact.
- Communicate complex analytical insights to executive stakeholders via compelling data storytelling.
- Maintain high coding standards and implement best practices for model versioning and documentation.
Qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, predictive modeling, or machine learning.
- Expert-level proficiency in Python and SQL; familiarity with R or Scala is a plus.
- Strong command of deep learning frameworks such as PyTorch or TensorFlow.
- Proven track record of deploying models into production using cloud environments (AWS, GCP, or Azure).
- Exceptional problem-solving skills with the ability to translate ambiguous requirements into technical solutions.
- Excellent verbal and written communication skills for cross-departmental collaboration.