Senior Data Scientist
Role in brief
Veeva Systems is seeking a Senior Data Scientist to develop statistical models and AI solutions for health data. This role involves working with large healthcare datasets, focusing on identity resolution and data quality. Candidates with a strong background in machine learning and Python, who can translate business problems into modeling solutions, should apply to this remote position.
About the role
This Senior Data Scientist role at Veeva Systems focuses on designing and implementing statistical models and data science solutions for complex health data challenges. The work involves developing and validating inference-based models, NLP/AI solutions, and scalable data processing pipelines. A key aspect is experimenting with new techniques to address identity resolution, data merging, and data quality while maintaining privacy.
The successful candidate will collaborate with Product, Data Analytics, and Engineering teams to define problem statements, success metrics, and deliverables. This position requires monitoring model performance, conducting quality assurance, and iterating based on feedback and measurement results. The role is suited for someone comfortable with greenfield projects and working with minimal supervision.
Veeva Systems operates as a public benefit corporation, emphasizing customer and employee success, societal impact, and speed. As a "Work Anywhere" company, this remote role supports flexibility. Success in this position means effectively transforming business problems into robust modeling solutions that impact the life sciences industry.
The salary for this position ranges from $115,000 to $195,500 annually.
Skills that matter here
- Python: Proficiency in Python is required for developing and implementing data science solutions and models.
- ML libraries: Experience with machine learning libraries is essential for building and validating AI and inference-based models.
- NLP tools: Knowledge of Natural Language Processing tools is needed for developing NLP/AI solutions within health data contexts.
- Big data processing: This skill is critical for handling large-scale health datasets and developing scalable data processing pipelines.
- analytics capabilities: These capabilities are used to monitor model performance and conduct quality assurance on data science solutions.
Who this role suits
- A person with a strong background in statistics, machine learning, and data science, specifically with experience in healthcare-related datasets.
- Someone who can effectively translate business problems into modeling solutions and collaborate across different teams.
- An individual comfortable with greenfield projects, experimentation, and managing their work with minimal supervision.
From the employer
What you'll do
- Design and implement statistical models and data science solutions to tackle large-scale health data challenges.
- Collaborate with cross-functional teams (Product, Data Analytics, Engineering) to define problem statements, success metrics, and deliverables.
- Develop and validate inference-based models, NLP/AI solutions, and scalable data processing pipelines.
- Experiment with novel techniques to address identity resolution, data merging, and data quality issues while preserving privacy.
- Monitor model performance, conduct quality assurance, and iterate based on feedback and measurement results.
Who you are
- Strong background in statistics, machine learning, and data science with experience applying these skills to large healthcare-related datasets.
- Proficient in Python (or similar) and modern data science toolkits; experience with NLP, ML, AI on big data is a plus.
- Ability to work with stakeholders across Product, Analytics, and Engineering to translate business problems into modeling solutions.
- Comfort with greenfield projects, experimentation, and working with minimal supervision.
Questions about this role
What is the remote work policy for this role?
This is a fully remote position, part of Veeva Systems' "Work Anywhere" policy, allowing flexibility to work from home or an office.
What level of seniority is expected for this position?
This role is for a senior-level professional.
What are the key technical skills required?
Key technical skills include proficiency in Python, experience with ML libraries, NLP tools, big data processing, and analytics capabilities.
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