Job Description
Join Nexus Analytics as a Senior Data Scientist and transform complex data into actionable business insights from anywhere in the US. We champion flexible schedules and remote-first culture, empowering you to deliver high-impact analytics while maintaining work-life harmony. Collaborate with cross-functional teams using cutting-edge tools like Python, R, and AWS to solve real-world challenges for Fortune 500 clients. Our agile environment encourages innovation and continuous learning, with dedicated resources for professional development. If you're passionate about data-driven decision-making and thrive in autonomous settings, this role is your opportunity to shape the future of analytics.
Responsibilities
- Design and implement advanced machine learning models to predict market trends and customer behavior
- Develop scalable ETL pipelines using cloud technologies (AWS/GCP) for large-scale data processing
- Create interactive dashboards and visualizations using Tableau/Power BI for executive stakeholders
- Lead A/B testing frameworks to optimize product features and marketing campaigns
- Mentor junior data scientists and conduct peer code reviews
- Present findings to C-level executives through compelling data narratives
Qualifications
- Masters or PhD in Statistics, Computer Science, or related quantitative field
- 5+ years of experience in predictive modeling and statistical analysis
- Expert proficiency in Python (Pandas, Scikit-learn) and SQL
- Proven track record deploying ML solutions in production environments
- Strong business acumen to translate technical results into strategic recommendations
- Certification in AWS/GCP data analytics platforms preferred
- Experience with distributed computing frameworks (Spark/Hadoop)