[filters_job_card.part_time] Data scientist [h1.location_city]

Job Description

Job Description add details here

Summary

Were looking for a Senior Data Scientist with a strong foundation in predictive modeling clustering and statistical analysis. This role combines hands-on machine learning with close collaboration across business and product teams to build production-ready models that forecast content performance and reveal content insights. The ideal candidate is fluent in modern MLOps tools proactively explores new approaches and iterates based on user feedback to ensure solutions are interpretable trusted and adopted across the organization.

Experience in the media / entertainment industry is a strong advantage or other creative industries. The ideal candidate has experience building DS solutions to support not replace human judgment and therefore has experience optimizing for results beyond just accuracy improvements such as enriching insights and discussions.

Responsibilities

Build and iterate on predictive models to project content performanceTest different model types (e.g. gradient boosting regression) and iterate based on accuracy and user interpretability needsComplete model experiments to validate hypothesesProactively identify opportunities to improve performance and contribute to model development roadmap

Explore and segment content typesUse clustering principal component analysis and other unsupervised methods to identify patterns in performance drivers and content typesExperiment with GenAI to enrich data (e.g. augmenting metadata tagging or generating synthetic attributes)

Collaborate with business users to refine models and drive adoptionInfuse models and model approach with users domain expertise and decision-making workflowsPresent early model outputs in accessible ways to solicit feedback and identify gaps overlooked variables and implicit assumptions from usersInterpret user feedback and adapt model design and underlying data to prioritize interpretability usability or explainability where required to build trust and drive adoption

Maintain and monitor modelsWork with ML Engineers to deploy models in production including API endpoints and establish ML pipelineContribute to shared libraries and modeling best practices across the data science team

Partner with product and platform teams to deliver impactContribute to design and implementation of new products where data science models will be embedded built by agile product PODsCollaborate with data architects data engineers and broader platform team to facilitate technical discussions and enrich the data available for data science

Requirements4 years of experience Proven experience as a Data Scientist4 years of experience Python and common ML library experience (e.g. scikit-learn XGBoost pandas).4 years of experience Familiarity with AWS tools especially SageMaker or equivalent cloud-based ML environments

Nice to Have Skills / Preferred RequirementsExperience in media & entertainment industry is a strong advantage but not requiredSQL fluency is a plus

Soft Skills : Curiosity and capability to work in an experimental stage of development to test hypotheses and adjust approaches to deliver the most value to business usersExperience building predictive models especially with limited sample sizesUnderstanding of clustering and dimensionality reduction techniquesExposure to generative AI models (e.g. LLMs diffusion models) and an interest in applying them to real-world data problemsStrong communication skills and the ability to translate data science work into business value as well as translate business user needs into data science

Technology Requirements : Strong skills in Python and common ML libraries (e.g. scikit-learn XGBoost pandas).Familiarity with AWS tools especially SageMaker or equivalent cloud-based ML environmentsExperience building predictive models especially with limited sample sizesUnderstanding of clustering and dimensionality reduction techniquesExposure to generative AI models (e.g. LLMs diffusion models) and an interest in applying them to real-world data problems

Education

N / A

Required Experience :

IC

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 75 - 84