Principal Data Scientist

 
Join the Team That's Redefining Wireless Technology

At Tarana, we're more than just a fast-growing tech company—we’re a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible.

We’re looking for an exceptional Principal Data Scientist to join our team and drive innovation through advanced analytics and machine learning. In this lead role, you will shape our data science strategy, mentor talented team members, and deliver high-impact solutions that transform how we leverage data to achieve business objectives.
What You’ll Do: 

• Lead end-to-end data science projects from problem formulation through model development, deployment, and monitoring in production environments.
• Design and implement advanced machine learning algorithms, statistical models, and AI solutions that drive business value.
• Provide technical leadership and mentorship to junior data scientists and data engineers, fostering a culture of excellence and continuous learning.
• Partner with engineering teams to architect scalable data pipelines and ML infrastructure.
• Establish best practices for experimentation, model training, model evaluation, and monitoring.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to identify and address key business challenges.
• Present findings and recommendations to senior leadership and other stakeholders.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 10+ years of experience in data science or a related field (at least the last 5 years in data science), with a proven track record of leading impactful projects that achieve clear customer outcomes through product delivery.
• Deep expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, computer vision, or reinforcement learning
• Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Proficiency in SQL and experience working with large-scale datasets and distributed computing frameworks (Spark, Dask)
• Demonstrated experience deploying models to production and monitoring model performance
• Demonstrated cross-functional experience with diverse teams across the organization
• Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences
• Strong business acumen and ability to connect data science work to organizational objectives
• Experience mentoring and developing junior team members

• Experience in cloud platforms (AWS, GCP, Azure) and MLOps practices
• Track record of publishing research or contributing to open-source projects
• Experience with A/B testing and causal inference methodologies
• Knowledge of data engineering principles and ETL processes
• Leadership experience in managing or leading data science teams