Job Description
This role is an exciting opportunity to work with large-scale datasets and deploy models that make a real impact. As a Data Scientist, you will play a crucial role in building and deploying scalable recommendation systems that enhance user experience and business outcomes.
* Key Responsibilities:
* Develop, implement, and deploy recommendation systems using techniques like matrix factorization, deep learning, and implicit/explicit feedback models
* Perform data analysis and build predictive models leveraging behavioral data and trend signals
* Work with large-scale data pipelines and contribute to the development of A/B testing frameworks
* Collaborate with product and engineering teams to design and optimize personalization and user segmentation strategies
* Analyze and interpret data to deliver actionable insights that drive product ranking and user engagement
* Communicate technical findings effectively to non-technical stakeholders
Requirements:
* 3+ years of experience in data science, ideally in e-commerce or consumer-tech environments
* Strong proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, and LightFM
* Hands-on experience building and deploying recommendation systems (e.g., matrix factorization, deep learning-based recommenders, implicit/explicit feedback models)
* Experience with SQL, Pandas, and Jupyter for data analysis
* Strong understanding of product ranking models using behavioral data
* Experience working with large-scale data pipelines and A/B testing frameworks
* Excellent problem-solving skills and ability to communicate complex technical concepts clearly
Benefits
* Fully remote work
* Career growth opportunities with a dynamic company
About the Role
This is a mid-senior level contract position in IT Services and IT Consulting.