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Ascend Group

Data Scientist (EGG Digital Contract 18 Months)

2-4 Years
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  • Posted 8 days ago
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Job Description

Data Scientist

Roles and Responsibilities

  • Collaborate with business, product, and engineering teams to identify opportunities for data-driven decision making and advanced analytics solutions
  • Design, develop, and deploy statistical, machine learning, and optimization models, including credit and income modeling
  • Build scalable data pipelines and workflows using big data technologies (e.g., Databricks, PySpark) and cloud platforms
  • Develop and maintain production-grade solutions, including APIs and backend services, following sound software engineering practices
  • Analyze large, complex datasets to uncover customer behavior patterns, insights, and drivers of customer experience
  • Monitor model performance, data quality, and system reliability; retrain and optimize models as business conditions evolve
  • Communicate analytical findings, assumptions, and recommendations clearly to technical and non-technical stakeholders

Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • 2-3 years of hands-on experience as a Data Scientist delivering end-to-end analytics or machine learning solutions
  • Strong experience in descriptive, predictive, and prescriptive analytics, including machine learning, forecasting, and optimization
  • Proficiency in Python and experience with big data frameworks such as PySpark and Databricks
  • Hands-on experience with ETL processes, workflow orchestration, databases, and query performance optimization
  • Strong software development skills, including API development, backend systems, version control (Git), and basic software architecture
  • Experience with Cloud technology and databases (Cloud AWS, Azure, GDP)
  • Optional: Exposure to Generative AI, Agentic AI, LLMs, or RAG-based solutions in production or experimentation contexts
  • Strong problem-solving and communication skills

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About Company

Job ID: 147577605