Description

You will design and deliver data solutions that translate complex mathematical algorithms into usable computational methods.

Responsibilities

• Build analytical and statistical models to answer key business questions.
• Develop and implement MLOps pipelines and machine learning models.
• Design dashboards and visualizations to communicate data insights.
• Optimize query performance and tuning across large, complex datasets.
• Propose methodologies to drive increased efficiency in client workflows.

Required Skills

• Advanced SQL proficiency with 5+ years of experience.
• 2+ years of experience working with dbt.
• 5+ years of experience working with relational databases including PostgreSQL, Oracle, Impala, or Cloudera.
• Intermediate Python skills including pandas, numpy, scikit-learn, and tensorflow.
• Experience with machine learning, rule-based systems, NLP, and computational linguistics.
• Dashboard development experience using Tableau, Spotfire, or DASH.
• Experience with data mining, ETL, and BI tools.
• Proficiency in Git via command line and LINUX/UNIX environments.
• MS in Computer Science, Chemical Engineering, or Biostatistics with 6 years of industry experience, or a PhD in a related field with 3 years of experience.

Preferred Skills

• Experience with JupyterLabs, Anaconda, RStudio, or Domino Data Lab.
• Knowledge of GxP requirements and bioprocess engineering/cell therapy data.
• Programming experience in C++, Java, or HTML/CSS.

Key Skills

Education

MS in Computer Science