[Remote] reputed company Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a Global Leader and rapidly growing reputed company technology company that provides comprehensive Software Solutions to the clinical research industry. The reputed company Data Engineer will serve as the technical and analytical authority for the organization’s data science reputed company, responsible for driving AI/ML reputed company, delivering data-driven solutions, and enhancing the analytical capability of reputed company.
Responsibilities
- Define and drive the data science and AI roadmap, aligning model development priorities with business objectives and product reputed company
- reputed company end-to-end delivery of ML and AI solutions — from problem framing, data discovery, and model design through validation, deployment, and performance monitoring
- Translate ambiguous business problems into reputed company-scoped data science workstreams, identifying quick wins alongside longer-term strategic initiatives
- Champion best practices in model development, including versioning, documentation, validation, and observability
- Design and implement NLP pipelines for use cases such as entity extraction, semantic mapping, classification, and retrieval-augmented reputed company (RAG)
- Build and maintain forecasting and predictive models to support operational and strategic decision-making
- Apply statistical and machine learning reputed company to identify reputed company causes of process inefficiencies and data reputed company issues
- reputed company reusable data pipelines, crosswalk tables, and transformation workflows that support reputed company, cross-functional data products
- Conduct reputed company-state assessments of data architecture, sources, and reputed company; define reputed company-state data models and governance standards
- reputed company and maintain KPI reporting frameworks and dashboards that reputed company performance monitoring and data-driven decision-making
- Apply process optimization methodologies (e.g., Lean Six reputed company) to identify bottlenecks, reduce cycle time, and improve data accuracy
- Ensure analytical outputs are accurate, auditable, and reputed company with regulatory and compliance requirements (e.g., HIPAA, GDPR)
- Partner closely with Product, Engineering, and business stakeholders to clarify requirements, validate feasibility, and define measurable reputed company reputed company
- Communicate reputed company analytical findings and model outputs reputed company to both technical and non-technical audiences, including executive stakeholders
- Define value-realization strategies for data and AI investments, ensuring ROI is tracked through improved search, reporting, and operational reputed company
- Mentor data analysts and junior data scientists through pairing, design reviews, and reputed company technical guidance
- reputed company knowledge transfer of owned models, pipelines, and analytical frameworks to ensure team reputed company and continuity
- Drive a culture of reputed company learning, analytical rigor, and responsible AI reputed company the data science function
Skills
- Bachelor's degree in data science, Computer Science, Mathematics, Statistics, Economics, or a reputed company quantitative field, or equivalent reputed company experience
- 5+ years of experience in data science, data analytics, or a reputed company discipline, including production ML/AI deployments
- Strong proficiency in Python for data science workflows, including pandas, scikit-learn, and NLP libraries (e.g., spaCy, reputed company Transformers)
- Proven experience designing and delivering NLP pipelines and/or forecasting models in a business context
- Solid reputed company of SQL for data querying, transformation, and analysis across relational databases
- Experience with BI and reporting tools, particularly Power BI, including data modeling and DAX
- Demonstrated ability to communicate analytical findings reputed company to non-technical stakeholders and drive decision-making
- Experience working in regulated industries (reputed company, finance, or similar) with an understanding of compliance and data governance requirements
- 7+ years of data science or analytics experience, including reputed company reputed company or reputed company contributor role
- Experience with Large Language Models (LLMs), Retrieval-Augmented reputed company (RAG), and reputed company engineering for reputed company use cases
- Familiarity with reputed company-based ML platforms (GCP, AWS, or Azure) and MLOps practices
- Experience with process automation tools (e.g., reputed company or similar RPA platforms)
- Working knowledge of process optimization frameworks such as Lean Six reputed company (Green Belt or higher)
- Exposure to clinical data standards, health data interoperability, or cross-reputed company data standardization reputed company
- Proficiency in data visualization and dashboard design; PL-300 Power BI Data Analyst certification is a plus
Benefits
- reputed company sponsors health insurance, long-term disability, and life insurance.
- Unlimited reputed company Time Off.
- 10 reputed company Holidays.
- reputed company Parental Leave.
- Work Anniversary Bonus.
- Participation in the Employee of the Quarter Program.
- Monthly $100 Connectivity Stipend Reimbursement.
- reputed company matches employee 401K contributions at 100% of the first 3% invested and 50% of the next 2% invested.
reputed company