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Data ScientistHybrid (NC, GA, KS, NY/NJ)About the Job:
- Job ID: 20436-0322-18142
- Location: Multiple Locations (NC, GA, KS, NY/NJ)
- Identify innovative data science opportunities that provide the biggest impact to our business strategy
- Apply advanced data science knowledge to leverage state-of-the-art methods and technologies; lead by example to establish best practices
- Develop statistical and machine learning methods to solve business problems and derive actionable business insights and recommendations
- Present insights and recommendations to executive and business stakeholders discovered from data analysis and statistical/machine learning algorithms
- Work with data engineers to test and validate training and production data pipelines, and complete the Dev Ops lifecycle
- Derive metrics for model performance and conduct continuous monitoring after model deployment
- Engineer datasets from different sources for data analysis and model development, which includes wrangling, cleansing, and pre-processing data
- Collaborate in an agile analytics delivery team along with business stakeholders, business analysts, data engineers, and fellow data scientists
- Bachelor's Degree Analytics, Computer Science, Mathematics, Statistics, Engineering or a related quantitative discipline
- 3-5 years of experience in data science or advanced analytics
- 3-5 years of Python, R, and/or SAS
- Strong understanding of high-performance algorithms and statistics
- Expert knowledge of data modeling, queries and understanding of different data structures
- Excellent analytical skills with an engineering, algorithmic mind to design tools, pipelines and systems to handle large-scale, real-time Client analysis, whether in batch or streaming
- Demonstrated ability to facilitate and coordinate complex data analysis and development activities across teams in agile sprints with minimal direction
- Proficient at collecting and mining data from disparate data sources while digging deeper to find the data that is really needed
- Must be comfortable with a highly kinetic and agile environment
- Committed team player who proactive and takes ownership of their responsibilities Excellent verbal and written communication skills are essential for coordinating across teams
- Master's degree in STEM with specialization in data science, machine learning, statistical modeling, and/or optimization
- Knowledge and experience in marketing, supply chain optimization, customer behavior/journey modeling and prediction, product recommendation systems, online testing, etc. is highly desired