What you'll do:

• Take a loosely defined business problem and break it into tractable data problems. For each data problem, clearly articulate the value of solving it, its impact, and its complexity.

• Lead and prioritize data science, collaborate with Product and Engineering to scope, design, and implement systems that solve complex business problems ensuring they are delivered on time and within scope.
• Provide strong leadership and mentorship to the Team, fostering a culture of collaboration and continuous learning.
• Design, develop, and implement advanced machine learning models, including large language and in-device models.
• Lead data science projects from ideation to deployment, ensuring alignment with business objectives and timelines.
• Manage and analyze large datasets collected from multiple countries, ensuring data integrity and consistency.
• Mentor junior data scientists in ways of working and problem solving, aiming to elevate the junior to a senior level. The staff data scientist should also share their relevant knowledge and experience with their team and the wider data science community in Truecaller.
• Stay updated on industry best practices and emerging technologies to drive innovation within the Data Team.
• You work collaboratively across systems and teams to solve user and business problems. You are expected to help define success and design and build the systems to achieve it.
• To work with the Product to decide on priorities and set direction, design solutions, and help the team implement them.

What makes you a great fit:

• Advanced degree in data science, computer science, statistics or similar

• 10-12 years experience with at least 8 years of experience in Data Science
• Proficient in establishing and scaling up processes
• Strong experience with A/B testing, multivariate testing, and other experimentation methodologies
• Strong experience in statistical analysis and Machine learning techniques, particularly those related to text classification and natural language processing (NLP).
• Proven experience in developing, training, and deploying machine learning models for real-world applications to understand text.
• Experience in entity recognition and semantic search.
• Ability to maintain deployed models by monitoring their performance and retraining them as necessary to ensure they remain accurate and relevant.
• Experience in working with large language models.
• Understanding how to efficiently use and transform data at terabyte scale.
• Experience with BigQuery is a plus.
• Hands on experience with Python, SQL and Git