Senior Specialist - Data Science

Responsibilities

• Work closely with SMEs, Engineering, Product, and Commercial teams to grasp analytics use case problem statements.
• Analyze challenges from a domain perspective and recommend data science, statistical, or AI-driven solutions.
• Design and implement analytics solutions by applying advanced data science and statistical methods.
• Establish measurable outcomes and model metrics to enhance accuracy and reliability.
• Conduct exploratory analysis on large, complex datasets - cleaning, preprocessing, validating data, and identifying patterns and trends.
• Uphold data quality, governance, and privacy standards, and advocate for the ethical use of data and AI.
• Build scalable, efficient analytics models in partnership with Data, Platform, and ML Engineers.
• Present insights clearly to stakeholders and leadership through visualizations, reports, and presentations detailing methodology, findings, and hypotheses.

Qualifications

• Master's or bachelor's degree in computer science or a STEM field.
• 7-10 years of experience in analytics, including 3+ years working on enterprise-scale solutions.
• Experience in Time Series Data.
• Expertise in AI/ML, statistical methods, LLM, and Gen AI analytics, Python, and related libraries.
• Ability to apply OOP concepts for analytics development.
• Familiarity with MLOps and model lifecycle management.
• Ability to work independently and drive outcomes.
• Critical system thinking and problem-solving mindset.
• Ability to effectively explain analytical ideas to non-technical audiences.

Benefits

• Contemporary work-life balance policies and wellbeing activities.
• Comprehensive private medical care options.
• Safety net of life insurance and disability programs.
• Tailored financial programs.
• Additional elected or voluntary benefits.

Skills