Job Description
Join Nexus Analytics at the forefront of data-driven innovation! We're seeking a visionary Senior Data Scientist to transform complex datasets into actionable business intelligence. You'll architect cutting-edge ML solutions that drive strategic decisions and product innovation in our fast-paced tech environment.
Our ideal candidate thrives in ambiguity, combines deep technical expertise with business acumen, and is passionate about solving real-world challenges through data. You'll collaborate with cross-functional teams to deliver scalable models that impact millions of users globally.
Responsibilities
- Design and implement end-to-end machine learning pipelines for predictive analytics and business intelligence
- Translate complex business problems into data-driven solutions using statistical modeling and ML algorithms
- Collaborate with engineering teams to deploy models into production environments
- Conduct A/B testing and experiments to validate model effectiveness and business impact
- Present insights to executive stakeholders through compelling data visualizations and narratives
- Mentor junior data scientists and foster a culture of continuous learning
Qualifications
- Master's or PhD in Statistics, Computer Science, Mathematics, or related quantitative field
- 5+ years of experience in data science with proven track record of deploying ML solutions
- Expertise in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Strong statistical modeling experience with causal inference and experimental design
- Proficiency in data visualization tools (Tableau, D3.js) and cloud platforms (AWS/GCP)
- Demonstrated ability to translate technical findings into business strategies
- Experience with distributed computing and large-scale data processing (Spark, Hadoop)