Hone is seeking a Data Scientist Intern to join their data team to develop models, analyze data, and deliver actionable insights that drive business impact.
Requirements
- Strong foundational knowledge of statistics, probability, and machine learning concepts.
- Proficiency in Python and experience with key data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch).
- Experience writing and optimizing SQL queries to manipulate and analyze data.
- Familiarity with data visualization tools or libraries (e.g., Matplotlib, Seaborn, Plotly, or Power BI).
- Exposure to A/B testing, experimentation design, or causal inference techniques is a plus.
- Strong analytical thinking, problem-solving abilities, and attention to detail.
- Eagerness to learn new technologies and frameworks, with a focus on self-improvement.
Responsibilities
- Explore, clean, and analyze large datasets to extract meaningful insights and trends.
- Build and evaluate predictive and statistical models to support prediction, forecasting, and decision-making.
- Collaborate with cross-functional teams to define data science problems and translate them into actionable projects.
- Design and analyze experiments (e.g., A/B tests) to evaluate product changes and measure impact.
- Work with data engineers to ensure data pipelines, feature stores, and infrastructure support model development and deployment.
- Develop visualizations and dashboards to communicate findings and recommendations effectively to stakeholders.
- Contribute to the continuous improvement of data science workflows, tools, and best practices.
Other
- Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
- Effective communication skills and the ability to work collaboratively in a remote cross-functional environment.
- A stable internet connection and access to a PC/laptop.
- Mission-driven, motivated multi-tasker who is invested in work that is fulfilling and impactful.
- Embrace change and tackle challenges with enthusiasm.
