Sr Data Scientist, Robert Half

Sr Data Scientist

Robert Half

Location:

United States, Plano

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

We are offering an exciting opportunity for a Sr Data Scientist based in Plano, Texas. In this role, you will be applying innovative scientific and quantitative approaches to draw conclusions and make recommendations that answer business objectives and drive change. You will be part of a dynamic team, working within an industry where your work will have a direct impact on our decision-making process.

Job Responsibility:

Apply advanced statistical analytics to assess future risks, opportunities, and effectiveness, translating results into solutions enhancing decision-making
Manage analytics regarding loan performance, including delinquency and credit losses, identify key drivers, and develop forecast expectations
Conduct innovative research projects, encapsulating project design, data collection and analysis, summarization of findings, and presentation of results
Utilize your skills in SQL, SAS, Excel, and Access to facilitate data analysis and financial modeling
Apply your knowledge of consumer lending business to produce advanced analytical material for discussions with cross-functional teams to understand complex business objectives and influence solution strategies
Interact with stakeholders to understand their business questions, craft methodologies to mine/analyze datasets, and deliver insightful recommendations
Use data mining techniques to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights
Participate in budget processes, providing quantitatively-backed recommendations and insights

Requirements:

Proficiency in Data Mining Techniques
Must possess a deep understanding of Budget Processes
Should be highly skilled in Quantitative Analysis
Experience in Financial Modeling is highly desirable
Knowledge of SQL is a must
Proficiency in SAS is required
Must be adept at using Excel
Experience with Access is necessary

What we offer:

Access to top jobs
Competitive compensation and benefits
Free online training
Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan

Additional Information:

Job Posted:

March 21, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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