Data Scientist / Software Engineer Intern — AI Developer Platform

WiCi AI; United States; On-site; USD 30,000 - 47,000; Part time

Job summary

WiCi AI is seeking a Data Analyst or Software Engineer Intern to help build the data infrastructure behind our developer platform, marketing activities, and product growth.

You will work across product, developer experience, marketing, and business operations to turn data into clear insights and practical decisions, with a focus on dashboards, pipelines, and analytics across channels.

Qualifications

• Strong Python and SQL skills.
• Familiarity with data tools such as pandas, NumPy, notebooks, databases, or visualization platforms.
• Basic understanding of statistics, experimentation, product analytics, or data modeling.
• Ability to write clean, reliable code and communicate findings clearly.
• Strong attention to detail and an ability to work with incomplete or messy data.

Responsibilities

• Analyze developer-platform activity and retention metrics.
• Build dashboards and reporting tools for product, developer, marketing, and business metrics.
• Create reliable data pipelines from websites, campaigns, APIs, and internal systems.
• Analyze marketing performance across channels and user acquisition.
• Study developer behavior and identify onboarding friction points.
• Define and track metrics for product launches and growth experiments.
• Support segmentation, funnel, cohort analysis, and attribution.
• Develop lightweight internal tools to improve reporting and efficiency.
• Collaborate with cross-functional teams to translate findings into product improvements.

Skills

Python

SQL

Data analysis

Code quality

Curiosity about AI infrastructure

Tools

pandas

NumPy

notebooks

databases

visualization platforms

Job description

WiCi is building the local computing layer for the AI era. We combine AI systems, software, networking, and hardware to enable developers to build faster, more private, and more responsive AI applications.

We are looking for a Data Analyst or Software Engineer Intern to help build the data infrastructure and analytical tools behind our developer platform, marketing activities, and product growth.

You will work across product, developer experience, marketing, and business operations to turn data into clear insights and practical decisions.

What You’ll Work On

• Analyze developer-platform activity, including sign-ups, API usage, application activity, feature adoption, and retention.
• Build dashboards and reporting tools for product, developer, marketing, and business metrics.
• Create reliable data pipelines for collecting, cleaning, validating, and organizing data from websites, campaigns, APIs, and internal systems.
• Analyze marketing performance across channels, including traffic, conversion, campaign effectiveness, and user acquisition.
• Study developer behavior and identify friction points across onboarding, documentation, integration, and ongoing usage.
• Define and track key metrics for product launches, developer programs, content, events, and growth experiments.
• Support user segmentation, funnel analysis, cohort analysis, and attribution.
• Develop lightweight internal tools and automations that improve reporting and operational efficiency.
• Work with product, engineering, marketing, and design teams to turn analytical findings into product and growth improvements.

What We’re Looking For

• Strong Python and SQL skills.
• Familiarity with data tools such as pandas, NumPy, notebooks, databases, or visualization platforms.
• Basic understanding of statistics, experimentation, product analytics, or data modeling.
• Ability to write clean, reliable code and communicate findings clearly.
• Strong attention to detail and an ability to work with incomplete or messy data.
• Curiosity about AI infrastructure, developer tools, software products, and growth.
• Comfortable working in an early-stage, fast-moving environment.

Nice to Have

• Experience with product analytics, marketing analytics, or developer-platform data.
• Familiarity with tools such as Google Analytics or similar platforms.
• Experience building dashboards or similar tools.
• Familiarity with APIs, backend development, data warehouses, or ETL workflows.
• Experience with A/B testing, funnel analysis, cohort analysis, or attribution modeling.
• Familiarity with LLMs, AI agents, developer tools, cloud platforms, or open-source communities.
• Interest in turning research, data, and user behavior into practical product decisions.

Role Type

• Paid internship with the opportunity to convert into an early-career full-time role.
• Open to candidates from data science, software engineering, computer science, information systems, business analytics, marketing analytics, or related backgrounds.
• Suitable for undergraduate, master’s, recent graduate, or early-career candidates with strong analytical and technical fundamentals.