Senior Data Scientist

Responsibilities

• Use your deep scientific research methods, statistics, machine learning, causal inference, and AI skills to study our business and deploy analytical solutions that optimize business outcomes.
• You are a scientist that is a master at working with data. You’ll develop close stakeholder relationships, solve business problems, and educate stakeholders on analytics, AI / ML processes and capabilities.
• Leverage the model development process to identify critical drivers of predicted outcomes (variable importance) and guide business to take action on these insights.
• Partnering with business SMEs in the process to enrich model insights, improve model performance, and ensure user adoption.
• Mine various data systems, clean and structure data, develop data pipelines, and identify areas for data quality improvements in the enterprise data environment.
• Partner with Data Engineering and BI teams to put models and insights into production.
• Develop causal inference / explanatory path models to help business understand drivers of key outcomes.
• Work with stakeholders to ensure understanding of models and implement business process changes to improve outcomes based on model output.

Qualifications

• Bachelor’s degreePhD desiredMaster’s at least required in statistics, data science, economics, psychology (research / experimental) or other heavy quant focused social or other science (biometrics).
• Need deep knowledge of statistical analysis, predictive modeling, machine learning, data mining, feature engineering, causal inference, scientific research methods.
• Requires strong skills in SQL and Python or R.
• Excellent communicator / consultative approach, PowerPoint and presentation skills required.

Pay

The pay ranges from $141,000 - 220,000 plus benefits and retirement program. Gilbane offers an excellent total compensation package which includes competitive health and welfare benefits and a generous profit-sharing/401k plan.