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.
- 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.
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
