The Product Scientist is responsible for defining success metrics, conducting product experimentation through A/B testing, analyzing opportunities for product improvements based on data patterns, and performing statistical modeling to forecast and understand customer behaviors.
Product Scientist1
Required
- Defining metrics for product success
- Product experimentation - AB testing
- Opportunity analysis - Understand the data and patterns that lead to product improvements
- Statistical modeling - forecasting, propensity, understanding customer behaviors; understanding AB testing
Nice to have
- Dashboard creation to exec presentation
- Domain knowledge in the ad space
- Experience with pricing
Top Skills
Ab Testing
Dashboard Creation
Statistical Modeling
Similar Jobs
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
The Lead Data Scientist will focus on analyzing large vehicle sensor datasets to identify patterns and develop algorithms for hazard prediction. This role requires collaboration with cross-functional teams to enhance vehicle safety and operational efficiency through advanced data science methodologies including machine learning and statistical modeling.
Top Skills:
Aws Ai/MlMachine LearningPython
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
As a Data Science Associate Consultant, you'll design and implement analytics solutions for structured and unstructured data, develop deep learning models, collaborate with teams on machine learning deployment, and contribute to AI research.
Financial Services
As a Strategic Analytic Loss forecasting Associate, you'll analyze fraud trends, support loss forecasting processes, develop frameworks, and prepare presentations for management. You'll collaborate with various stakeholders to ensure forecasts align with business operations and take responsibility for achieving goals and priorities.
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.