Partnering closely with senior leadership to devise a comprehensive multi-year technical strategy for our (ML) platform.
Guiding the design and implementation of essential platform components geared toward the training, deployment, and monitoring of ML models in production environments.
Establishing and enforcing best practices for maintaining data quality, governance, and security standards across the data and machine learning platform.
Offering technical mentorship and guidance to the engineers within the team and across engineering, fostering a culture of continuous learning and growth.
Providing expert guidance on industry-leading practices, tools, and technologies relevant to ML engineering
Developing and implementing effective communication strategies to convey technical concepts to both technical and non-technical audiences, facilitating cross-functional understanding and collaboration.
Cultivating partnerships across Engineering, Product Management, Infrastructure, Security, Analytics, and Design teams to address technical and non-technical problems collaboratively.

Over 7 years of software development experience, specializing in data science and ML for 7+ years
Proficient in building and deploying machine learning models (including language models)
Experience in architecting, designing, and implementing scalable ML platforms and infrastructure, optimizing workflows for machine learning lifecycle management.
Proficient in building model serving pipelines for batch, streaming, and real-time inference
Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems.
Strong problem-solving skills with a strategic mindset and attention to detail
Effective communicator and collaborator across technical and non-technical stakeholders
Proficient in Python, SQL, Spark, Databricks, Git, or a similar technical stack

Senior Data Scientist – Hybrid

Key skills