Job Description
Are you ready to transform massive datasets into actionable strategic intelligence? Nexus Analytics Labs is seeking a visionary Senior Data Scientist to join our elite core team. You will lead the development of machine learning models that redefine how our enterprise clients interact with predictive analytics in the cloud.
We foster a culture of radical transparency, rapid prototyping, and high-impact engineering. If you are passionate about scalable architecture and Bayesian statistics, we want to hear from you.
Responsibilities
- Design and deploy end-to-end machine learning pipelines using Python and AWS.
- Collaborate with cross-functional product teams to identify data-driven growth opportunities.
- Perform deep-dive exploratory data analysis to uncover hidden trends in large-scale datasets.
- Mentor junior analysts on best practices for statistical modeling and code quality.
- Architect robust A/B testing frameworks to validate product feature efficacy.
- Communicate complex analytical insights to executive stakeholders through intuitive data visualizations.
Qualifications
- Master’s or PhD in Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum 5 years of experience in an applied data science role.
- Advanced proficiency in Python, SQL, and distributed computing frameworks like Spark.
- Strong expertise in machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Experience with cloud-native data environments (Snowflake, BigQuery, or AWS Redshift).
- Solid understanding of experimental design and causal inference methods.