Highlights
Designs, develops and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources to generate actionable insights and solutions for client services and product enhancement. Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis.
Numbers & Facts
| Location | St Louis, MO |
| Industry | Management Consulting Services |
| Salary | $45.55–$49.42 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | https://www.iconma.com/ |
Description
Our Client, an Energy company, is looking for a Data Scientist for their St Louis, MO/ Hybrid location.
Responsibilities:
Why Should You Apply?
Responsibilities:
- Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts.
- May create specifications for reports based on business requests.
- Designs, develops and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources to generate actionable insights and solutions for client services and product enhancement.
- Analyzes and models data to understand complex business issues and provide insight to decision makers.
- Integrates data from multiple sources to produce requested or required data elements.
- Programs and maintains reports, information dashboards, data generators, canned reports and other end-user information portals or resources.
- Uses advanced mathematical and statistical concepts and theories to analyze and collect data; identifies and interprets trends and patterns in datasets.
- Supports complex business problems and issues using unstructured data from internal and external sources to provide insight to decision-makers.
- Builds or defines machine learning / Artificial Intelligence (AI) solutions that create value for the business.
- Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets.
- Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed.
- Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis.
- Conducts exploratory data analysis from complex data sources and builds key data sets.
- Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities.
- Translates complex business requirements and technical designs into data science / artificial intelligence solutions aligned to business goals that deliver measurable value to the organization.
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Benefits
401K, Employee Referral Program, Life Insurance
About Company
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
- Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
- Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
- Founded in 2000
- 2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.
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