Principal Data Scientist
Summary
	Well-known for having 25+ years of experience in developing actionable insights and recommendations that have driven profitable growth for eight industry leaders in seven different industries
	Led Subway to more than 20% annual sales growth and catapulted Staples to the highest retail customer satisfaction scores in its history
	Introduced data science and machine learning to Constant Contact, Thermo Fisher Scientific, and ViralGains, driving over $2 million incremental revenue
	Developed patented machine learning models to predict purchase likelihood for 100 of the Fortune 500 companies, driving ViralGains to achieve profitability for the first time in its 10-year history
	Builds world-class data science teams and expertly communicates technical insights and strategic business recommendations to executives
	A Harvard data science professor who developed a course on data science in advertising technology and has taught it to 100 students over last 5 years
Expectations
Make a lasting impact on society by using my analytical and strategic leadership expertise to drive business growth for an organization whose mission resonates with my passions. This could be for a startup or a large organization, and I would want to work (at least mostly) remotely. I also wouldn't mind a hybrid role for a Boston-area-based company.
Employment Preferences
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- SQL
- Leadership
- Team Building
- Predictive Modeling In R
- Python
- Scikit Learn
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Deep Learning
- Keras
- TensorFlow
- PyTorch
- Executive Communication
- Data Visualization
- Tableau
- Power BI
- Data Science
- Machine Learning
- Artificial Intelligence
- Advanced Analytics
- Business Strategy
- Microsoft Office
- Excel
- PowerPoint
- Access
- Statistics
- Optimization
- Research
- Survey Analysis
- Data Mining
- Consulting
- A
- B Testing
- Management
- Customer Insights
- Critical Thinking
- Supervised
- Classification
- Regression
- Unsupervised
- Clustering
- Market Basket
- Reinforcement Learning
- Segmentation
- Presentation
- AWS
- NLP
- Computer Vision
- Unstructured Data
- NoSQL
- Snowflake
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