Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.
About the role
- Data Scientist developing and implementing data science models and algorithms for PayPal. Collaborate with stakeholders to deliver data-driven solutions and optimize processes.
Responsibilities
- Develop and implement data science models and algorithms.
- Analyze and interpret complex data sets.
- Ensure data quality and integrity.
- Collaborate with stakeholders to understand data requirements.
- Optimize data processes for efficiency and performance.
- Perform advanced statistical analysis and reporting.
Requirements
- Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Solid technical / data-mining skills and ability to work with large volumes of data;
- Extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc.) to translate data into business decisions/results
- Be data-driven and outcome-focused
- Good business judgment with demonstrated ability to think creatively and strategically
- Intuitive, organized analytical thinker, with the ability to perform detailed analysis
- Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field with 2-3 years’ experience, or Master’s degree with 1-2 years’ experience in risk management, data science and/or loss forecasting, in the payments space or banking/finance services industry
- Proficiency using SQL and querying relational databases
- Experience in at least one statistical programming language (SAS, R, Python)
- Familiarity with reporting tools (Tableau, Power BI or Qlik) is highly desired.
- Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc.
- Experience with structuring analyses to solve business problems using data and analytics tools and techniques
Benefits
- generous paid time off
- healthcare coverage for you and your family
- resources to create financial security and support your mental health
Job title
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Not specified
Degree requirement
Tech skills
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