Data Strategist

5 hours ago

Makati City, National Capital Region, Philippines beBeeData Full time ₱1,500,000 - ₱2,000,000

Unlock the Power of Data Science

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This is a pivotal role where you will apply advanced data science techniques to analyze data and ML models, assessing and fine-tuning them for optimal business and technical performance. Your expertise in machine learning frameworks and techniques will be essential in driving effective decision-making and creating business value.

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You will work with both structured and unstructured data, utilizing specialized programming languages and tools to drive effective decision-making and create business value. This role requires deep understanding of ML frameworks and techniques, including data exploration and manipulation.

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What We're Looking For

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  • A master's degree in Data Science, Computer Science, Statistics or a related field.

  • 3+ years of experience in a data science or related role.

  • Proficient in at least one of the following languages: Python, R, SAS or Julia.

  • Strong knowledge of machine learning algorithms, techniques and libraries (eg. TensorFlow, PyTorch).

  • Experience with data pre-processing, feature engineering and model evaluation.

  • Ideal candidates will have experience working with Snowflake, Docker, Kubernetes, AWS: S3, EMR and SageMaker.

  • Recommended: Experience with Atlassian Suite (Bitbucket/JIRA/Confluence).

  • Proven understanding and addressing ethical implications and biases in models, analytical and critical thinking, problem-solving, innovative thinking to develop new models and approaches.

  • Experience working directly with remote technical teams.

Your Key Responsibilities

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  • Develop, train, and deploy machine learning models assessing them for performance, robustness, and bias. Choose appropriate metrics to evaluate outcomes. Identifying and resolving issues both before and after model deployment.

  • Anticipate and address ethical, bias, privacy, and data protection implications of ML/AI models. Establish traceability for outcomes produced by ML models.

  • Maintain thorough documentation of data science processes, models, and experiments to ensure reproducibility and knowledge sharing.

  • Provide data-driven insights and recommendations to support strategic business decisions and initiatives while also identifying opportunities for process optimization and automation, striving for continuous improvement in data management practices.

  • Finally, you will actively anticipate and resolve potential data issues before they escalate, demonstrating a proactive approach to data.

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