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Data Scientist, Senior Specialist (Hybrid)
Company | Merck |
Address | Rahway, NJ, United States |
Employment type | FULL_TIME |
Salary | |
Category | Pharmaceutical Manufacturing |
Expires | 2023-08-01 |
Posted at | 10 months ago |
- Collaborating with IT, Data Science community, and HR Operations to amplify data science capabilities and drive innovation.
- Working hand-in-hand with our client-facing teams to address business needs, providing solutions that are as insightful as they are actionable.
- Designing, developing, enhancing, and implementing models to delve deep into our workforce data.
- Acting as an AI/Machine Learning expert, advising HR colleagues and end users on the best usage within the HR domain.
- Developing and deploying data solutions and products that meet defined and repeatable needs.
- Boosting AI/Machine Learning capability within the team, using the latest methods and tools to extract insights from text, behavioral, sentiment, and network data.
- Minimum of a Bachelor's degree from an accredited institution in Mathematics, Computer Science, Engineering, Industrial/Organizational Psychology, Statistics, Economics, or another quantitative field, or currently in pursuit of degree completion, or equivalent relevant work experience
- Experience with cloud computing platforms, such as AWS and Databricks, and related tools.
- Demonstrated interest in projects focused on the workforce.
- Expertise using R, Python, and SQL to execute a solid portfolio of data science projects involving statistical inference, traditional machine learning, and deep learning approaches.
- Proven leadership in team project settings.
- Openness to coaching and learning from team members with different specializations.
- Minimum 6 years experience in a data science or advanced analytics role (with Masters’ degree, minimum experience is 4 years)
- Exceptional initiative, curiosity, communication skills, and a team-first orientation.
- Familiarity with version control systems.
- Solid understanding of natural language processing and/or network analysis methods and techniques.
- Ability to conduct literature reviews and leverage external research to stay on top of best practices in data science for human capital management.
- Familiarity with product management and agile methodologies.
- Experience building visualization tools such as R Shiny, Spotfire, or Power BI.
- Understanding of HR data, processes, information systems, and governance.
- Ability to manage relationships, influence non-technical stakeholders, and tell a great data story.
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