Lead Data Scientist, End-to-End AI for Biotech Ops

Infotree Global Solutions; Juncos (PR); Vor Ort; USD 95.000 - 130.000; Vollzeit

Zusammenfassung

Infotree Global Solutions seeks a Data Scientist to lead end-to-end analytics projects across client organizations, partnering with commercial insights, manufacturing, supply chain, and IS teams in Puerto Rico. The role involves developing predictive models, using Python and SQL, and communicating findings to drive business value.

Candidates should have doctoral or master's level education with relevant experience, strong Python/ML skills, and the ability to work independently in a regulated,

Qualifikationen

• Doctorate or Master's with 2+ years of data science, statistics, data mining, or related field experience.
• Bachelor's + 4+ years in data science, business analytics, or related field.
• Associates + 8+ years in data science, statistics, or data mining.
• High school/GED + 10+ years in data science, statistics, or analytics.

Aufgaben

• Lead data science projects and collaborate with business partners to develop analytical models.
• Develop prototypes and production-ready models using Python.
• Work with SQL and other DB query languages to gather data.
• Present insights and results to stakeholders in clear, impactful ways.
• Ensure compliance with regulatory, security, and privacy requirements.

Kenntnisse

Python

SQL

Machine learning

Data analysis

Communication

Cross-functional

Linux

Big data

Ausbildung

Doctorate

Master's degree

Bachelor's degree

Associate degree

High school diploma

Tools

Spark

Hive

TensorFlow

PyTorch

scikit-learn

Jobbeschreibung

Infotree Global Solutions seeks a Data Scientist to lead end-to-end analytics projects across client organizations, partnering with commercial insights, manufacturing, supply chain, and IS teams in Puerto Rico. The role involves developing predictive models, using Python and SQL, and communicating findings to drive business value.

Candidates should have doctoral or master's level education with relevant experience, strong Python/ML skills, and the ability to work independently in a regulated,