Senior Data Scientist

Arch Global Services (Philippines) Inc.; Cebu City; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

Arch Global Services (Philippines) Inc. is seeking a Senior Data Scientist based in Cebu to deliver production quality solutions for data extraction using expertise in Natural Language Processing (NLP) and Deep Learning (DL). You will programmatically explore data and collaborate closely with product owners to develop impactful solutions.

The ideal candidate should have at least 3-5 years of experience and hold a BS degree in Computer Science or a related field. The role offers a hybrid work model, enabling a balance between collaboration and independent work.

Qualifications

• 3-5 years of experience in a relevant role, particularly in the insurance industry.
• Proficient in Natural Language Processing and Cloud computing.
• Strong capability in technical and non-technical documentation.

Responsibilities

• Deliver production quality data extraction and classification solutions.
• Programmatically explore data and derive insights.
• Collaborate with teams to develop business solutions.

Skills

Natural Language Processing (NLP)

Deep Learning (DL)

Python

Cloud Computing (Azure)

Generative Algorithms (GAN, VAE)

Transfer Learning

Education

BS in Computer Science, IT, Data Analytics, or equivalent

Tools

Databricks

Version Control (git)

Job description

Hybrid - Cebu 3-5 Years Experience, Bachelor Degree, Full-time

Job Description

The ideal Senior Data Scientist candidate for this role will have insurance industry experience with Natural Language Processing (NLP) and perhaps Computer Vision (CV) especially applied to data extraction problems. They will be skilled in transfer learning and possess an understanding of and capability in Deep Learning (DL). They can perform work in each of those areas by leveraging a cloud environment like Databricks on Azure with Python in a notebook and IDE environment with version control leveraging git. They can navigate API based generative AI models like those from OpenAI to develop solutions. They can perform these tasks collaboratively, transparently, and seek to improve the skill of the team overall.

Responsibilities:

• Deliver production quality solutions for data extraction, classification, triaging, routing, search, etc.
• Programmatically explore data, derive insights that are statistically sound, and convey findings to colleagues of varying sophistication.
• Label and validate datasets of various sizes, using manual methods as well as programmatic and AI driven approaches.
• Evaluate the performance of models and solutions-as-a-whole on practical and statistical benchmarks.
• Collaborate with other scientists, engineers, product owners, and business customers to develop solutions that meet the business problem.
• Create, contribute to, improve, and convey technical and non-technical documentation of solutions.

Required Skills:

• Experience applying quantitative methods in a corporate environment.
• Experience with Python from a functional programming paradigm, able to manage dependencies, virtual environments, and version control in git.
• Experience with cloud computing platforms such as Azure.
• Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning.
• Experience with generative algorithms (e.g., GAN, VAE, etc.) as well as foundation models (e.g., GPT-4o, SAM, Mistral).
• Experience developing solutions from inception through deployment.

Desired Skills:

• Experience with sequential algorithms (e.g., LSTM, RNN, GRU, etc.).
• Experience evaluating ethical implications of AI and considerations around controlling them.

Education:

• BS in Computer Science, Information Technology degree, Data Analytics or equivalent.