We’re looking for a Senior Data Science Engineer to join our growing and mission-driven Data Science team.

About The Job

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.
  
  

About You

• 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.
  
  

Academic & Professional Skills

• 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.
  
  

Meet the Team

Join our team

Want to join our team? Then we'd love to hear about you!