IBP Data Scientist at Agilent, enhancing enterprise planning through data insights and analytics model development. Collaborating on demand, inventory, and supply planning initiatives.
About the role
- Data Scientist at Adobe using data to enhance product experience through analytics and machine learning. Collaborating with teams to derive insights and improve customer experiences.
Responsibilities
- Partner with product and engineering teams to understand existing product instrumentation and help bridge gaps in data streams to assist data science initiatives.
- Analyze product usage patterns to better understand customer behavior including acquisition, engagement, conversion, and retention.
- Proactively identify user trends and communicate relevant insights to assist product decision-making.
- Automate and optimize data pipelines using SQL and/or Python-based ETL Frameworks.
- Build and maintain various dashboards to inform the team about the state of the business, as well as to alert business partners when issues occur.
- Architect and implement models to recommend personalized in-app content.
- Drive A/B and multivariate tests and build feature-level experiments to validate hypotheses and influence product development decisions.
Requirements
- MS or Ph.D. in data science, computer science, statistics, applied mathematics, engineering, or economics, or equivalent experience.
- 3 - 5+ years of relevant data science experience.
- Experience translating business questions into data analytics approaches.
- Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, etc.).
- Experience developing and operationalizing consistent approaches to experimentation, using appropriate statistical techniques to reduce bias and interpret statistical significance.
- Proficiency with descriptive and inferential statistics (i.e., t-test, chi-square, ANOVA, correlation, regression, etc.) to understand customer engagement and generate hypotheses.
- Experience crafting data visualizations and storytelling to efficiently communicate analysis results to both technical and non-technical audiences.
- Knowledge of relevant tools in this field such as Hadoop, Hive, Splunk, Spark, Tableau, Excel (Charting and Pivot-Tables), and Power BI.
- Experience in product instrumentation is a plus.
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Flexible work schedules
- Professional development opportunities
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist transforming complex data into insights for global challenges at Booz Allen. Collaborating with clients to extract meaningful information from data - rich environments while developing algorithms and systems.
Data Scientist specializing in GenAI solutions, collaborating across teams in Citi’s Innovation Labs. Driving model validation and adopting AI capabilities within the bank.
Data Scientist developing and implementing machine learning models at Gauge, enhancing partner results through integrated solutions. Focusing on data analysis and model deployment.
Data Scientist managing big data analyses and developing machine learning models. Collaborates closely with business and IT stakeholders to implement data - driven solutions aligning with organizational goals.
Data Science Analyst focused on predictive modeling and user segmentation at Inmetrics, developing statistical models and translating data insights into strategic recommendations.
Product Analytics Team Lead enhancing analytics as a strategic function in Ukrainian IT company. Collaborating across teams to impact product decisions and optimize data processes.
Data Scientist designing bespoke data science solutions at Faculty, working on impactful AI projects for public services. Collaborating closely with clients to drive delivery excellence through innovative techniques and strong relationships.
Principal Supply Chain Data Scientist optimizing advanced analytics solutions for HP's global supply chain. Collaborating with executives to drive strategic decision - making and enhance operational efficiency.
Junior Data Science Associate in e - commerce working in a team to prepare ML models. Collaborating with experts to define business goals and monitor model performance in production.