Data Scientist developing AI agents and advanced analytics solutions for Ciena. Focused on machine learning, generative AI, and delivering business value through intelligent data - driven tools.
About the role
- Data Scientist responsible for statistical analysis and machine learning at Super.com. Collaborating with cross-functional teams to drive data-driven decision-making and business strategies.
Responsibilities
- Apply statistical analysis and machine learning techniques to uncover insights, build predictive models, and support data-driven decision-making.
- Investigate data trends, patterns, and anomalies; assist in diagnosing issues and identifying opportunities through exploratory data analysis (EDA).
- Access, clean, and transform large raw datasets to prepare them for modeling and analysis.
- Collaborate closely with product, engineering, and business teams to translate problems into data science solutions.
- Autonomously identify business challenges that have impactful data solutions and build the right solutions to address them.
- Design and execute personalization experiments (e.g., A/B tests) to test hypotheses, measure product changes, and inform business strategies.
- Develop, prototype, and validate machine learning models and algorithms.
- Create clear visualizations and reports to communicate technical findings and model results to stakeholders.
- Follow best practices for reproducibility, model evaluation, documentation, and version control in data science workflows.
- Support efforts to improve data quality, feature engineering processes, and model monitoring practices.
Requirements
- 2+ years of experience in data science roles
- Experience with web analytics tools (GA4, Amplitude, Mixpanel, etc)
- Intermediate knowledge of SQL with the ability to create clean and transform datasets, ideally with DBT
- Collaborative and verbose communication about why and how we approach business questions
- Strong programming skills with working knowledge of machine learning packages such as sklearn, pandas, numpy, tensorflow, etc.
Benefits
- Remote-First Flexibility: Work from anywhere in the world and choose hours that suit you best.
- Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.
- Everyday Perks: Weekly UberEats credits and travel discounts on Super.com help you enjoy the little things.
- Family-Friendly Benefits: Generous parental leave and a flexible return-to-work plan.
- Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits starting on day one.
- Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.
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