Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.
NU
Hybrid Senior Data Scientist, Membership Analytics
Posted 5 months ago
About the role
- Senior Data Scientist leveraging data science for insights into member analytics and decision-making. Developing predictive models to create value and drive business optimization.
Responsibilities
- Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
- Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.
- Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization.
- Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.
Requirements
- 3-5 years of experience in exploratory data analysis
- Basic understanding of business and operating environment
- Statistics
- Programming, data modeling, simulation, and advanced mathematics
- SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
- Model lifecycle execution
- Technical writing
- Data storytelling and technical presentation skills
- Research Skills
- Interpersonal Skills
- Working knowledge of procedures, instructions, and validation techniques
- Model Development
- Communication
- Critical Thinking
- Collaborate and Build Relationships
- Initiative with sound judgement
- Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
- Sound Judgment
- Problem Solving (Responds as problems and issues are identified)
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
- **Desired Qualification(s)**
- Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Benefits
- Highly competitive pay
- Generous benefits and perks
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Solution Analyst / Data Scientist at Analytic Partners utilizing advanced data analysis and AI solutions for marketing performance in a hybrid work environment.
Lead Data Scientist building core AI systems for OpenExpert.AI, an AI operations platform in the energy sector. Collaborating across teams to design, deploy, and scale AI systems in high - stakes environments.
Senior Marketing Data Scientist leading advanced analytics initiatives for biBerk, enhancing marketing ROI and optimizing campaign performance. Collaborate with the Marketing team to drive effective investment decisions.
Cientista de Dados Pleno enhancing CRM performance through data analysis and predictive modeling. Collaborative role directly impacting client success with actionable insights.
Workday Data Lead for a hybrid 6 month Outside IR35 contract at Benefact Group in Gloucester. Responsible for leading data conversion and ensuring compliance during Workday ERP implementation.
Data Scientist / AI Engineer at lemlist, focused on deploying impactful AI use cases. Collaborate with product and engineering teams to drive business results through AI.
Data Scientist working within Polarsteps' growth team, driving experimentation and data - backed decisions. Collaborating with product and marketing for scalable insights and recommendations.
Data Scientist within Growth & Marketing at Polarsteps analyzing data to shape growth strategies and influence business decisions.
Manager on Data Science team at Anthropic leading analytical strategies for B2B growth. Collaborating across teams to drive insights and metrics for a consumption - based AI platform.