Data Science (Inter, Junior, Mid, Senior)

Description

Mandatory: Explore AICINES product at: aicines.com

Immediate Requirement: Referrals encouraged.

Company Description AICines.ai is the world’s first end-to-end AI content creation and monetization platform, built specifically for AI-generated video content from short reels to full-length feature films. The platform unifies AI-driven story and script generation, scene and character creation, smart editing tools, hosting, and revenue monetization in a single ecosystem. By redefining the entertainment pipeline from script to screen through multimodal intelligence, AICines.ai empowers creators, brands, and studios to produce cinematic content at scale. Operating at the intersection of AI, FilmTech, and the creator economy, the company is focused on building the next generation of AI-powered storytelling for a global audience.

Open to interns, fresh graduates, and early-career professionals — we hire based on what you can do, not your job title or years of experience.

Responsibilities

Mandatory: Explore AICINES product at: aicines.com

Immediate Requirement: Referrals encouraged.

Role Description The Data Science role at AICines.ai is a remote position focused on building models and analyses that improve content recommendations, user engagement, and platform intelligence. On a day-to-day basis, this role involves exploring large datasets, building predictive models, running experiments, and translating findings into product and business recommendations. The Data Scientist will collaborate with engineering and product teams to deploy models into production and help shape data-driven decision-making across the company.

Requirements

Mandatory: Explore AICINES product at: aicines.com

Qualifications

Strong foundation in statistics, machine learning, and data analysis.

Proficiency in Python and SQL, with experience using data science libraries (pandas, scikit-learn, etc.).

Experience building and evaluating predictive models and running experiments (A/B testing).

Ability to communicate complex findings clearly to technical and non-technical stakeholders.

Comfortable working with large, messy datasets in a fast-paced environment.

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.