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Data Science Expert

2 weeks ago


Singapore beBeeDataScience Full time $100,000 - $160,000

Job Opportunity: Data Science Expert

Job Description:

We are seeking a highly skilled and experienced data science expert to join our team. As a key member of our organization, you will be responsible for developing and implementing AI/ML solutions that drive business growth and improve operational efficiency.

  • You will lead the design and development of AI/ML use cases, from concept to delivery.
  • As a technical specialist, you will provide expertise on AI/ML solutions and collaborate with cross-functional teams to build well-crafted, pragmatic, and robust solutions that meet business requirements.
  • You will proactively engage with stakeholders to understand their needs and translate them into technical requirements for AI/ML modelling.
  • Maintain documentation of dataset curation, modelling approach, model performance, code changes, and workflows.
Required Skills and Qualifications:
  • A bachelor's degree in computer science or equivalent.
  • At least 3 years of experience in data science role with relevant experience in AWS platform.
  • Familiarity with techniques for Document Chunking, Embedding, Information Retrieval for improving model accuracy and relevance.
  • Expertise in Prompt Engineering for designing and managing effective prompts.
  • Hands-on experience with AWS Bedrock, including deploying solution using foundation models (e.g., Anthropic Claude, Amazon Titan, Meta Llama) and integrating them into scalable applications using APIs and orchestration tools.
  • Experience in designing and applying evaluation frameworks for Gen AI models, including metrics and human-in-the-loop evaluation. Able to implement validation process and guardrails to mitigate risks such as hallucination and misinformation, ensuring the reliability and trustworthiness of AI-generated outputs.
  • Experience in Agentic Flow for maximizing the utility of models, including understanding user intent and context to drive meaningful interactions.
  • In-depth knowledge of supervised and unsupervised ML Models – linear & logistic regression, clustering, tree-based models like random forest, bagging and boosting models.
  • In-depth knowledge on feature engineering techniques, hyperparameter tuning and model evaluation.
  • Proficient in SQL, Python, and Spark.
  • Proven experience in implementing MLOps practices on AWS.
  • Familiar with Data Warehouses such as Redshift, BigQuery, Snowflake, Hive, and S3.
  • Passionate about technology and always looking to upskill based on new developments in AI space.
  • AWS certifications will be a plus.
  • Experience in the financial industry, telecommunications, or consulting is preferred.
Benefits:

Our company offers a competitive salary and benefits package, including opportunities for professional growth and development.

Others:

We are an equal opportunities employer and welcome applications from diverse candidates. If you are passionate about data science and AI, we encourage you to apply for this exciting opportunity.