Company overview
RunPod delivers cost-effective GPU cloud computing solutions, empowering users to train, deploy, and scale AI models with ease.
With GPU Cloud, users can quickly launch on-demand GPU instances in just a few clicks, while Serverless enables the creation of auto-scaling API endpoints, ensuring seamless inference at scale in production environments.
Founded in 2022 and headquartered in New Jersey, RunPod is committed to providing cutting-edge cloud infrastructure for AI and machine learning workloads.
Responsibilities:
- Analyze large and complex datasets to uncover actionable insights related to user behavior, product performance, and operational efficiency.
- Collaborate with cross-functional teams, including engineering, marketing, operations, and sales, to drive data-informed decision-making.
- Design and implement data collection systems and methodologies to enhance statistical efficiency and ensure data accuracy.
- Identify, interpret, and analyze trends and patterns within complex data structures.
- Develop reports and interactive dashboards to effectively communicate key insights, trends, and forecasts.
- Work closely with engineering teams to improve data collection and analysis processes.
- Present findings and strategic recommendations to stakeholders and executive leadership in a clear and compelling manner.
- Stay up to date with industry trends and best practices in data analytics and data science.
Requirements:
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field (Master’s degree is a plus).
- Minimum of three years of experience in a data analytics role, preferably with exposure to user and machine data.
- Strong analytical and problem-solving skills, with the ability to collect, organize, and analyze large volumes of data while ensuring accuracy and attention to detail.
- Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
- Hands-on experience with data visualization tools such as Mode, Tableau, or Power BI.
- Familiarity with data warehousing platforms like Snowflake, Athena, or Redshift.
- Excellent verbal and written communication skills, with the ability to translate complex data insights into actionable business strategies.
- Strong critical thinking and problem-solving abilities.
- Successful completion of a background check.