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  • ID
    #17812066
  • Job type
    Permanent
  • Salary
    $70k - 95k per year
  • Source
    Phoenix Staff, Inc.
  • Date
    2021-08-04
  • Deadline
    2021-10-03

Data Scientist III

Nevada, Las vegas, 89150 Las vegas USA
 
Permanent

Vacancy expired!

Title: Data Scientist III

Location:Las Vegas, NV

As a Data Scientist III you are a subject matter expert in data analytics and business analysis. You'll perform analysis, design, development and optimization activities in support of data quality and data validation. You'll also play a critical role in defining and creating the future state of data and analytics in the enterprise. A successful individual in this role is a leader who has and imparts business knowledge, data analytics and business analysis expertise related to the sources and uses of data for business analytics and decisioning.

Your role:
  • Conduct research to understand, predict, and defend against data quality errors
  • Leverage large volumes of diverse data to understand the relationships, rules, and usage patterns of data that might impact business results
  • Test/Deploy sophisticated analytics programs, machines learning, and statistical methods to ensure data is prepared for use in decisioning, predictive, and prescriptive modeling
  • Explore and examine data from source systems, Data Lake, Data Warehouse, and business partners to find and implement data quality rules
  • Test/Deploy modern, high-scale data quality analysis, reporting, early warning, and prioritization methods
  • Communicate in crisp, fundamental terms to key stakeholders based on analysis of data, data relationships, uses cases, and data anomalies
  • Provide data quality metrics and remediation forecasts to teams developing pipelines, analytic solutions, and decision strategies
  • Present results and recommendations; craft coherent, crisp messaging from complex, voluminous data, and output
  • Test, validation, and deploy machine learning algorithm to enhance existing and/or introduce new processes and show bottom line impact
  • Develop project requirements, analytic plans, SOWs, project timelines, and other related materials for the management of outsourced model development and/or management
  • Interact with analysts, modelers, and pipeline developers across the business
  • Anticipate issues based on knowledge of internal data trends and propose solutions
  • Serves as an expert consultant to internal technical and line of business teams
  • Promote data validation goals, ensure accuracy of deliverables, and communicate precisely

What you've got:
  • Bachelor's Degree in Business, Mathematics, Statistics, Engineering, Computer Science, or related field
  • 4+ years of experience in business analysis, quantitative analytics, data science; preferably within the financial services industry
  • 4+ years of advanced experience using SQL (SQL Server, Oracle, Teradata etc.) and at least one analytical package such as SAS, Python, R, etc.
  • Working knowledge of ETL processes
  • Strong working knowledge of analytical techniques including regression analysis and Machine Learning algorithms for pattern recognition, predictive analytics, anomaly detection, and operational analytics
  • Organizational and prioritization skills to manage multiple, competing priorities
  • Leadership skills to mentor others within the group or across the business
  • Excellent communication skills - and ability to thrive in a fast-paced complex environment
  • Experience developing requirements and testing analytic solutions collaboratively
  • Solid planning, priority setting, and time management skills
  • Highly motivated, collaborative, and innovative
  • Knowledge of financial analysis, credit, profitability drivers as well as operational analytics
  • Graduate degree in quantitative area such as mathematics, economics, engineering, computer science, operations research, and equivalent industry experience preferred
  • Strong financial analytical skills with the ability to read, interpret, and evaluate, financial time-series tracking reports (including vintage analysis) preferred

To find more great tech-centric jobs, please visit www.phoenixstaff.com.

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