Data Science Engineer
Data Science Engineer
We’re looking for a Data Science Engineer to join our growing and mission-driven Data Science team.
About the Job
As a Data Science Engineer, you are expected to:
Design, develop, and evaluate machine learning models and analytical solutions to support business needs.
Contribute to data exploration, feature engineering, and model experimentation under the guidance of senior team members.
Support the implementation and integration of machine learning models with existing systems in collaboration with software engineers.
Perform exploratory data analysis and generate insights that guide business decisions.
Communicate analytical findings clearly to both technical and non-technical stakeholders.
Participate in end-to-end project workflows - from understanding business requirements to delivering measurable outcomes.
Stay curious about advancements in machine learning and LLMs and applying relevant learnings to improve your craft.
About you
You are:
A motivated learning with a passion for applying data science to real-world challenges.
Curious, open to feedback, and proactive in expanding your technical skills.
A collaborative team player who works well with engineers, analysts, and business partners.
Detail-oriented, organized, and able to manage multiple tasks with proper guidance.
A problem solver who can break down complex questions into clear analytical steps.
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An effective communicator who can explain your work in simple and structured ways.
Your Qualifications
Bachelor’s degree in Computer Science, Mathematics, Applied Physics, Data Science, or a related field.
Foundational knowledge and experience in statistical modeling and machine learning.
At least 1 year of hands-on experience with Python (Pandas, scikit-learn, or similar frameworks) and SQL for data manipulation.
At least 1 year of hands-on experience in machine learning frameworks (TensorFlow, PyTorch) and modern data workflows.
Foundational knowledge of LLMs, vector databases, and data pipeline development. At least 1 year of hands-on experience is a plus.
At least 1 year experience working on any academic, internship, or project-based data science work.
Strong understanding of MLOps concepts (CI/CD, model deployment, monitoring) is a plus.
Exposure to cloud platform (AWS, GCP) is a plus but not required.
We actively encourage everybody to bring their full selves to work.
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.
We are proud to be werks in progress.
Our team is made up of individuals who are aligned with OpsWerks’ values. In the spirit of building a healthy community, which requires open and honest communication, here are our expectations for every one of us at OpsWerks:
To uphold OpsWerks’ Mission and Methods.
To know, believe, and execute each team’s mission plan.
Growing in the 4 awarenesses (self, others, surroundings, and situation).
To take ownership of your personal growth for the team’s well-being.
To never give up, to never give in... only giving your best.
Ready to start your awesome journey and be part of OpsWerks?