Sr. Data Science Engineer
We’re looking for a Senior Data Science Engineer to join our growing and mission-driven Data Science team.
Full-time · Manila
Sr. Data Science Engineer
We’re looking for a Senior Data Science Engineer to join our growing and mission-driven Data Science team.
As a Senior Data Science Engineer, you are expected to:
Design, develop, and deploy predictive models, including fine-tuning large language models (LLMs), to address complex business challenges.
Lead end-to-end data science projects, from data exploration and model building to deployment and performance monitoring.
Perform advanced analytics and provide actionable insights to support data-driven business decisions.
Partner with software engineers to operationalize machine learning models and ensure seamless integration with existing systems.
Mentor junior team members, fostering a collaborative environment that encourages learning and growth.
Continuously evaluate and incorporate the latest advancements in machine learning and data engineering to improve team outputs.
Communicate complex technical findings clearly and concisely to non-technical stakeholders.
An independent contributor who thrives on innovation and is unafraid to challenge norms.
A strategic thinker who aligns data science initiatives with long-term business goals.
A relationship builder who collaborates effectively across teams to enhance data collection and drive data quality.
A supportive mentor who helps junior team members and apprentices develop their skills, fostering a culture of growth and learning.
A proactive problem solver who takes initiative in solving business challenges through data-driven solutions.
Strong organizational and multitasking skills to balance competing priorities.
Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field (Ph.D. is a plus).
Strong expertise in statistical modeling, machine learning, and predictive analytics.
Proven experience applying large language models (LLMs) to solve real-world problems.
Proficiency in Python (including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch) and SQL for data manipulation and analysis.
Experience with cloud platforms (AWS, GCP, or Azure) and data science/engineering frameworks or platforms.
Experience with MLOps practices, including CI/CD pipelines for model deployment and monitoring.
Knowledge of data pipeline optimization and vector databases is a plus.
We actively encourage everybody to bring their full selves to work.
We are proud to be werks in progress.
At OpsWerks, we celebrate transformation and constantly champion it in each other. We fully believe we do our best werk when we are our best selves. We are seekers, question askers, and people willing to look at our own operating systems as much as those of our partners.
Want to join our team? Then we'd love to hear about you!