Data Science Analyst Intern- Summer 2024

We are currently seeking a Data Science Intern to join our team for an enriching internship experience where they can apply theoretical knowledge to real-world projects.
PlanetArt internships are full-time positions, and interns should expect to work Monday-Friday,
up to 40 hours per week typically between 9am-6pm. Specific team norms around working
hours will be communicated by your manager. Interns should not have conflicts such as classes
or other employment during the PlanetArt workday. Applicants should have a minimum of one
quarter/semester/trimester remaining in their studies after their internship concludes. By
applying to this position, your application will be considered for the Data Science Intern
role located in Calabasas.
Responsibilities:
Collaborate with data analysts, scientists, and engineers to understand and contribute to the development of machine learning models for predictive analysis and data-driven solutions.
Participate in the cleaning, manipulation, and analysis of large datasets to uncover actionable insights and inform company decisions.
Assist in the design and implementation of ETL (Extract, Transform, Load) processes to optimize data workflow.
Develop and maintain dashboards and reports to visualize data and track key performance indicators (KPIs) using tools such as Tableau.
Contribute to the enhancement of data quality and reliability through rigorous validation and testing of models.
Engage in research activities to stay abreast of the latest advancements in data science, machine learning, and related technologies.
Support the data science team in ad-hoc analysis and presentation of results to stakeholders.
Requirements
Requirements:
Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Familiarity with SQL and experience with database systems such as PostgreSQL, MySQL, or similar.
Proficiency in Python, data science libraries, and traditional machine learning libraries (such as Pandas, NumPy, Scikit-learn, StatsModels) for data science and machine learning prototyping tasks.
Basic understanding of business statistics, machine learning concepts, and algorithms.
Strong analytical and problem-solving skills.
Excellent verbal and written communication skills.
Ability to work collaboratively in a team environment as well as independently on assigned tasks.
Eagerness to learn and apply new skills in a fast-paced environment.
Working Conditions:
- Work is performed in an office environment with low to moderate noise levels.
- Position requires regular, continuous use of computer.
- Position requires regular interaction with team members through the following methods:
in-person, phone, WebEx, Slack, or email.
- This is a hybrid position;
employees are expected to be in the office three days per week (Monday, Tuesday, and Thursday) with the option of working remotely two days (Wednesday and Friday).
Benefits
The base pay for this position is $19.00 an hour.