Job Summary
The Data Scientist plays a critical role in the organization by creating systems and processes to gather and analyze unstructured 'big data'. This role focuses on generating valuable insights and developing visualization tools that enhance client service delivery and improve product offerings. The Data Scientist collaborates with various stakeholders to leverage data for strategic business solutions.
AI / Machine Learning Engineer
- Engineer and sustain Python-based services that automate medical, legal, and regulatory review steps, including integration with Veeva PromoMats.
- Maintain AWS infrastructure (Lambda, Step Functions, DynamoDB, S3, CloudWatch, IAM) with Infrastructure-as-Code, security, and cost optimization.
- Enhance and support the Global Delta Puller for PromoMats.
- Lead content extraction pipelines for PDF and packaged assets; optimize accuracy and throughput for downstream review tools.
- Operate and extend the Promotional Intelligence Platform.
- Maintain, fine-tune, and monitor ML/NLP models for paragraph detection and document segmentation; run retraining/validation cycles tied to review accuracy KPIs.
- Provide production support, incident response, documentation, and knowledge transfer across multi-vendor delivery teams.
- Has an extensive understanding of Veeva PromMats - its states and permission, as well as metadata and the creation-approval-deployment flow of marketing materials.
Key Responsibilities
2. Apply Statistical Techniques And Machine Learning Frameworks Such As Pytorch To Design Custom Data Models And Algorithms, Enhancing Data Processing Capabilities.
3. Utilize Sql To Query Large Datasets, Identifying Meaningful Insights And Interpreting Findings Through Data Mining And Exploratory Data Analysis.
4. Collaborate With Business Stakeholders To Identify And Prioritize Opportunities For Data-Driven Solutions That Support Organizational Goals.
5. Generate Comprehensive Reports And Visualizations That Translate Complex Data Analysis Into Actionable Insights For Stakeholders, Informing Business Decisions.
Skill Requirements
1. Strong Understanding Of Machine Learning Concepts And Frameworks, Including Tensorflow And Pytorch.
2. Proficient In Python Programming For Data Manipulation And Algorithm Development.
3. In-Depth Knowledge Of Sql For Effective Data Querying And Management.
4. Familiarity With Statistical Methods And Data Mining Techniques For Analyzing Large Datasets.
5. Excellent Communication Skills To Convey Technical Findings To Non-Technical Stakeholders.
AI / Machine Learning Engineer