Senior Scientist, Omics at Johnson & Johnson focusing on Neurodegeneration and Neuropsychiatry. Implementing data science projects to deliver treatments and optimize patient stratification.
About the role
- Data Scientist Intern at Tinder analyzing large datasets to improve user experience and safety. Collaborating with engineers and data scientists to drive platform innovation and insights.
Responsibilities
- Explore and analyze large-scale datasets to identify patterns, trends, and opportunities.
- Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement.
- Design and execute A/B experiments to measure the impact of product features and algorithmic changes.
- Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies.
- Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos.
- Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements.
- Participate in improving the team’s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation.
Requirements
- Passion for using data and experimentation to solve complex problems.
- Intermediate to advanced SQL skills for data querying and analysis.
- Familiarity with / building to proficiency in Python.
- Strong foundation in statistics, probability, and machine learning fundamentals.
- Understanding of data structures and algorithms.
- Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Principal Scientist leading data - driven neuroscience strategies at Johnson & Johnson. Focusing on Neurodegeneration and Neuropsychiatry through multi - disciplinary collaboration and innovative research.
Principal Scientist focused on neurodegeneration and neuropsychiatry for Innovative Medicine at Johnson & Johnson. Leading data - driven projects integrating multi - omics and clinical data to enhance therapy development.
Fraud Data Scientist generating insights using statistical analysis and machine learning for UMB's fraud initiatives. Involves collaboration across teams to enhance fraud detection models.
Lead Graph Data Scientist at USAA developing models for identity theft and fraud detection. Partner with teams to enhance fraud prevention measures through advanced analytics and graph techniques.
Develops quantitative solutions addressing identity theft and fraud detection at USAA. Collaborates with teams on machine learning models and graph analytics strategies.
Senior Test Design & Data Science Consultant at Wells Fargo developing and implementing marketing testing strategies. Collaborating on forecasting and optimizing marketing campaigns across Consumer Banking and Lending teams.
Data Scientist (BI) designing and implementing BI solutions for LUZA Group, focusing on data ingestion, transformation, analysis, and visualization, primarily with Power BI.
Teamlead Data Science overseeing strategic AI initiatives for business impact at leading Austrian corporation. Responsible for team development and end - to - end data solutions.
Data Scientist developing machine learning and AI solutions at STATSports. Turning GPS and IMU sensor data into actionable insights for athlete performance and decision - making.