Job Description

Job Description

Job Description

About the Role
We are looking for a Summer Data Scientist Intern to join our team and work on real-world data science challenges. As an intern, you will collaborate with our Data Scientists to develop robust data solutions that enhance the business decision-making processes. This is a great opportunity to gain hands-on experience in data science, feature engineering, and experimentation in a fast-paced, data-driven environment.

Key Responsibilities

• Feature Engineering: Design, create, and optimize meaningful features for machine learning models to support MLEs.

• A/B Testing Analysis: Conduct rigorous statistical analyses to measure the impact of algorithmic changes and provide actionable insights.
• Data Warehouse Management: Work with large-scale datasets, optimize data pipelines, and ensure data availability for analytical and modeling purposes.
• Dashboard Development: Develop and maintain dashboards to track key metrics and enable data-driven decision-making.

Requirements

Qualifications:

• Pursuing a Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience with SQL or Python (Pandas, NumPy, Scikit-Learn, etc.) for data manipulation.
• Familiarity with A/B testing methodologies and statistical analysis.
• Knowledge of data visualization tools (Tableau, Power BI, or Python libraries like Matplotlib/Seaborn).
• Strong problem-solving skills and ability to work in a collaborative environment.

Preferred Qualifications

• Strong programming skills, particularly in SQL and Python.
• Hands-on experience with data science projects, including feature engineering, experimentation, and data visualization.
• Familiarity with data warehousing concepts and tools.
• Strong analytical thinking, problem-solving abilities, and attention to detail.
• Ability to communicate complex data insights in a clear and actionable manner.

Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $30-$60/hour. Our salary ranges are determined by role, level, and location.

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