Senior Data Scientist

Job Title: Senior Data scientist

Location: Remote
Job Type: Permanent Hire

Job Description:

Must Have Technical/Functional Skills

• 8+ years of proven experience building deep learning models for large-scale recommender systems.
• Proficiency in ML frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL, Python and Spark for data analysis and manipulation.
• Experience working with Databricks is a plus.
• Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
• Experience working with LLMs or Generative systems in applied settings.
• Experience working with cloud platforms like Azure or Google Cloud Platform.
• Experience working with Data Engineering and MLOps is desirable.
• High level of independence to develop and own toolkits, pipelines, and dashboards.

Roles & Responsibilities

• Recommender Systems Development.
  • Design and improve recommender systems for customer experiences.
  • Develop models that combine user behavior, product data, and contextual signals.
  • Partner with engineering to deploy and iterate on models in production.
• AI & LLM-driven Systems.
  • Apply Generative AI models to enhance personalization and customer facing features.
  • Design hybrid systems that combine structured ML models with LLM-generated outputs.
  • Evaluate AI-driven outputs using business and user-centric metrics.
• Experimentation & Measurement.
  • Design and run A/B tests and segmentation-based experiments.
  • Develop measurement frameworks for personalization.
  • Translate results into actionable insights and model improvements.
• Data & Workflow Development.
  • Build and curate datasets to support ML and AI applications.
  • Identify opportunities to make data more usable for AI-driven systems.
  • Partner with engineering teams to develop scalable pipelines.
• Cross-functional Collaboration.
  • Work closely with product owners, engineers, and data scientists to define and deliver solutions.
  • Communicate technical findings clearly to both technical and non-technical audiences.
  • Operate with high ownership in ambiguous, fast-moving environment.