Descripción de la oferta
As a Senior Data Scientist at RedGIFS, you will be responsible for driving data-informed decision-making by building predictive models, ensuring data integrity, and translating complex analytics into clear business narratives . You will work closely with Product Managers, Data Engineers, and CTO to deliver machine learning solutions and actionable insights that meet both user needs and business goals.
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About the Company
RedGIFs is a bold, creator-first adult social media platform that empowers content creators to share and grow their work in an open, sex-positive environment. With over 55 million monthly visits, we’re home to thousands of professional creators who connect with fans, promote their services, and build communities on their own terms.
We operate in a fast-moving, fully remote environment that thrives on collaboration, agility, and innovation. Our culture is friendly, inclusive, and growth-oriented, we believe in building openly, moving quickly, and supporting each other every step of the way.
Machine Learning is a key component of our strategy, and with our high-scale infrastructure foundations in place, the next stage of ambitious journey is to deeply integrated advanced modelling into Trust & Safety protocols, content experience personalisation, and optimisation of our platform.
Benefits
Paid Vacation: 31 days of paid vacation per year.
Agile Environment: Scrum-based agile working environment.
Skill Development: Various stipends to support your growth and learning.
Birthday Gifts: Celebrating your special day with a thoughtful birthday gift.
About You
We are looking for a self-initiated problem solver who combines deep technical expertise with the ability to communicate complex findings to non-technical audiences. You should be:
A Storyteller with Data: You don't just generate numbers; you develop narratives around data sets to guide decision-making and enhance the understanding of key insights.
A Technical Mentor: You take the initiative to share knowledge, contributing to the development of others and identifying learning opportunities for the team.
Ethically Minded: You fully understand the importance of security, privacy, and ethics in data science, anticipating the risks and implications of modeling.
Autonomous: You are comfortable working on self-initiated tasks and take full responsibility for meeting allocated technical objectives.
Research-Oriented: You actively contribute to research communities, keeping up with emerging trends and refining ideas for implementation.
About the Role
This role requires the following tasks and deliverables:
Advanced Analytics & Modeling: Formulate hypotheses, select appropriate machine learning algorithms, and build predictive models to solve complex business problems.
End-to-End Data Pipeline Management: Select, acquire, and integrate data for analysis, ensuring master data management processes are in place and assessing data integrity from multiple sources.
Visualization & Automation: Operationalize and automate the production of data visuals, designing dashboards that make complex data accessible and actionable for stakeholders.
Strategic Deployment: Contribute to the development, monitoring, and deployment of data science solutions, advising on the effectiveness of specific techniques based on findings.
Collaboration & Standards: Work with cross-functional teams to define data requirements and contribute to the development of organizational data analytics standards and best practices.
About the Tech
Our Data Department relies on a modern, scalable stack to handle our high-volume environment:
Core Languages: Python (General Programming & Machine Learning), SQL (Data Retrieval & Processing).
Infrastructure & Warehousing: Amazon Redshift (Large Scale Data Warehousing), Amazon Athena (Large Scale Data Querying).
Machine Learning & AI: Amazon SageMaker (ML & A.I. Tool Provisioning), Apache Spark (ML Operations at Scale).
Pipelines & Orchestration: Apache Airflow (ETL Pipeline Instrumentation and Data Transfers). xiphteb
Experimentation: Amplitude (A/B Testing).
