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# Expert Data Science

- **Company:** Sandoz Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Cluster Analysis, Program Optimization, Python (Programming Language), Machine Learning, SQL Databases, Unstructured Data, Feature Engineering, Apache Spark, Deep Learning, Production Code, Dask, Data Management, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** August 1, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p8u0pswnul

## About the Role

* 4-6 years in data science or analytics roles, delivering models in production
 * Consulting experience in Advanced Analytics is a plus
 * Fluent English is a must.
 * Proven experience with ML models (classification, regression, clustering) and forecasting
 * Strong programming (Python) and SQL experience
 * Exposure to big data tools (e.g., Spark, Dask) and cloud platforms (e.g., Databricks)
 * Experience building data pipelines and production-ready code (e.g., Airflow, MLflow)
 * Strong problem-solving and stakeholder communication skills
 * Advanced ML/AI techniques
 * Feature engineering & model optimization
 * Data pipeline understanding
 * Strong problem-solving

What You'll Receive

Sandoz compensation is determined by job level, qualifications, niche skills, experience, and location within company salary ranges. Fully proficient and highly effective employees can expect a starting salary around market median, with those new to the level or with less functional depth at the lower end of the range and those with sustained superior or niche skills towards the higher end of the range. Internal equity and external market data inform our range placement. Annual salary reviews consider performance outcomes, market alignment, and business needs.

## Description

* Drives model development of complex solutions using ML/deep learning and advanced statistical methods; selects appropriate techniques for the question/problem
 * Develops/improves data management techniques, algorithms, methods and quantitative approaches; extracts insight from structured and unstructured data
 * Applies external research methodologies to business problems and proposes scalable approaches
 * Produces actionable insights and communicates recommendations to stakeholders
 * Reporting of technical complaints/adverse events within 24 hours (where applicable); distribution of marketing samples (where applicable)


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