**Job Summary**
This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data mining and modelling techniques.
The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities.
The role is involved in driving standardization, productivity and cross team learning by establishing processes and SOPs for entire data model development lifecycle.
The role drives excellence through continuous improvement in model accuracy and reliability.
**Responsibilities**
- Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
- Defines models to uncover patterns and predictions creating business value and innovation.
- Manages and creates relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
- Ties insights into effective visualizations communicating business value and innovation potential.
- Works with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions.
- Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.
- Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance.
- Defines, communicates and drives data insights/innovation into the business.
- Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
- Provides guidance, training and mentoring to less experienced staff members.
**Education & Experience** Recommended**
- Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
**Preferred Certifications**
Programming Language/s Certification (SQL, Python, or similar)
**Knowledge & Skills**
- Algorithms
- Amazon Web Services
- Apache Spark
- Artificial Intelligence
- Big Data
- Computer Science
- Data Analysis
- Data Mining
- Data Science
- Data Visualization
- Deep Learning
- Machine Learning
- Natural Language Processing
- Predictive Modeling
- Python (Programming Language)
- R (Programming Language)
- SQL (Programming Language)
- Statistical Modeling
- Statistics
- Tableau (Business Intelligence Software)
**Cross-Org Skills**
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
**Impact & Scope**
Impacts large functions and leads large, cross-division functional teams or projects.
**Complexity**
Provides highly innovative solutions to complex problems within established policy.