Director, Data Science
300 New Millennium Way, Durham NC, United States
USD 126K-222K (estimate) Executive-level Full Time
Tasks
- Advise senior management on technical strategy
- Analyze data and present insights
- Build and test model development code
- Build feature engineering pipelines
- Collaborate cross functionally on technical designs
- Conduct code reviews
- Create data quality guardrails
- Deploy and integrate analytics solutions
- Design and deploy predictive and prescriptive analytics
- Design machine learning pipeline architecture
- Develop and integrate analytics frameworks
- Develop and iterate machine learning models
- Ensure fairness and bias detection
- Ensure model monitoring and maintenance
- Implement scalable analytics infrastructure
- Lead end-to-end data science initiatives
- Migrate AI and machine learning processes to cloud
- Oversee data cleansing and preparation
- Perform exploratory data analysis
- Plan organization-wide initiatives
- Provide technical leadership and coaching
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS Lambda | Adobe Analytics | Amazon S3 | Business Intelligence | Clustering | Cron | Data Quality | Data Visualization | Data Wrangling | Data leakage | Data leakage detection | Docker | ETL | Feature Engineering | Feature Selection | Git | Gradient boosting | Greenplum | Hadoop | Hive | IceDQ | Jenkins | Leakage detection | Machine Learning | Model Fairness | Neural Networks | Oracle | Parallel processing | Partitioning | PostgreSQL | Python | R | Random Forest | Redis | Regression | SAS | SQL | Series analysis | Snowflake | Step Functions | Tableau | Time Series | Time Series Analysis
Education
N/A
Roles
Regions
Countries
States
Cities
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