Tarana is looking for a Principal Data Scientist to drive innovation through advanced analytics and machine learning, shaping their data science strategy and delivering high-impact solutions to achieve business objectives.
Requirements
- 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
- 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
Responsibilities
- 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.
Other
- 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.
- 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
