Job Purpose
We are seeking a Senior Data Scientist to spearhead multiple high- impact Machine Learning initiatives in collaboration with our business teams. This role plays a pivotal part in addressing strategic challenges aligned with company OKRs, enhancing our products, and creating measurable business impact using advanced Data Science methods and systems applied to unstructured, large- scale, and diverse Big Data sources.
Key Accountabilities
As a trusted advisor to senior leadership, you will actively contribute to strategic decision- making, provide forward- thinking data guidance, and ensure our analytics capabilities drive competitive advantage. You will also be accountable for resource allocation, project prioritization, and leading teams towards delivering exceptional outcomes.
Data Solutioning
• Oversee the execution of complex Data Science projects in an agile, compliant, and business- driven manner.
• Drive adoption of Machine Learning and Big Data techniques across multiple journeys and squads, fostering innovation.
• Design, implement, and evaluate cutting- edge ML/DL models to solve complex business problems, ensuring alignment with business KPIs.
• Build advanced analytics solutions including recommendation engines, personalized models, and other AI- powered applications.
Data Insighting
• Establish processes and tools for continuous model performance monitoring and prediction accuracy evaluation.
• Facilitate cross- squad discussions (3+ squads) to uncover new opportunities for Data Science applications.
• Maintain deep awareness of your datasets—distributions, outliers, conversion rates—and perform sanity checks to validate model integrity and business relevance.
• Lead the discovery of meaningful, actionable insights from massive and diverse datasets in close partnership with business stakeholders.
• Partner with Data Engineers to design sophisticated algorithms that enhance operational efficiency.
Project Management
• Collaborate with leads to resolve team bottlenecks, perform root cause analyses, and implement continuous improvement practices.
• Navigate project conflicts, evolving requirements, and challenges to keep delivery on- time, high- quality, and business- relevant.
• Take ownership of projects end- to- end: managing priorities, keeping teams aligned, and focusing on quick wins with measurable impact.
Talent Development
• Lead, inspire, and retain a team of Data Scientists, fostering both technical and career growth.
• Mentor and coach junior and mid- level scientists into high- performing, autonomous contributors.
• Promote a culture of curiosity, innovation, and excellence in Data Science.
