- Meet with business leaders to understand business challenges and opportunities, and then frame these as data science problems
- Identify data sources and evaluate suitability for use in analysis and modeling
- Manage complex projects by demonstrating scope of data science projects by defining and planning steps
- Extract data from enterprise systems and clean the data for analysis and modeling
- Conduct analysis to derive insights from data
- Develop visualizations of analytics and models for communicating findings
- Build, test, and validate predictive models
- Put models into production
- Present insights to key business stakeholders
- Mentor junior data scientists
- Identify opportunities to collect data from new sources or improve existing processes to allow for better analysis and modeling
- Implements new or enhanced software designed to access and handle data more efficiently.
- Identifies creative solutions to challenging data science problems, determines project requirements and model requirements, and delivers a solution through the lifecycle to the production environment.
- Bachelor's Degree in Computer Science, Data Science, Business Analytics or similar quantitative field
- 5+ years in a data scientist role
- R and/or Python; SQL; statistical analysis and modeling, including linear and generalized linear models; time series analysis and forecasting; machine learning models such as random forests, XGBoost, and SVM; Spark (in Scala or from R or Python)
- Natural language processing, including topic modeling, intent & entity extraction, and/or building domain-specific language models.
- Demonstrate a high level of autonomy and ability to produce high quality work with minimal guidance.
- Demonstrated ability to communicate data science findings and recommendations to technical and non-technical audiences, including senior and executive leadership.
- Experience monitoring models in production.
- Experience in data mining
- Understanding of machine learning
- Strong analytical skills and business acumen
- Master's degree in Computer Science, Data Science, Business Analytics, or similar quantitative field.
- 7+ years in a data scientist role
- Neural networks, including CNN and RNN architectures
- Building production APIs in Flask, FastAPI or similar frameworks
- Experience deploying models in Docker containers on Kubernetes
- Experience deploying models on-device for iOS and Android
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Sr. Data Scientist - Oklahoma City, United States - Paycom
Description
Job DetailsLevel
Experienced
Job Location
Multiple: Grapevine, TX - Oklahoma City, OK
Position Type
Full Time
Education Level
Bachelor's Degree
Job Category
Information Technology
Description
The Staff Data Scientist will translate business problems and opportunities into data science projects. Conduct data analysis and build machine learning models for internal and client-facing applications. Present findings to key stakeholders. Deploy production models. This position will work closely with software development to provide valuable insight to improve business operations.
RESPONSIBILITIES
Education/Certification:
Education/Certification:
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