• SAS Institute
  • $96,903.33 -181,590.00/year*
  • Mocksville , NC
  • Financial Services - Insurance
  • Full-Time
  • 339 Koontz Rd


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Overview

Are you a problem solver, explorer, and knowledge seeker always asking, What if?

If so, you may be the new team member we re looking for. Because at SAS, your curiosity matters whether you re developing algorithms, creating customer experiences or answering critical questions. Curiosity is our code, and the opportunities here are endless.

What we do

We re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.

What you ll do

In the Finance Data Scientist role you will assist the SAS Finance division in mining the complex enterprise financial, human capital and sales data to provide informed analysis and valuable insights.

You will

? Collaborate with IT to prepare and manipulate structured and unstructured Finance, HR, and Sales data for data discovery and mining from multiple disparate resources.
? Build high-end analytic models, utilizing supervised and unsupervised learning models, to support business leaders with data driven insights that address immediate business problems and objectives.
? Create informative visualizations that intuitively display large amounts of data and/or complex relationships; translates data analytics into coherent reports and presentations for internal and external customer with varying degrees of technical knowledge.
? Assist in developing reporting strategies and recommends tools for optimal use of analytical data.
? May have a specialty around machine learning, artificial intelligence, pattern recognition, optimization or advanced statistics.
? Routinely uses anonymized or encrypted data.
? Prototype solutions using varied resources, including SAS software and open source software.
What we re looking for

? You re curious, passionate, authentic and accountable. These are our and influence everything we do.
? Bachelor s degree in Business Analytics Finance or Statistics or related field; Master s degree a plus.
? 1 year of relevant experience analyzing data and/or building statistical models.
? Experience working with financial data and with distilling information into concise presentations.
The nice to haves

? Foundational knowledge of applied statistics, data modeling techniques, predictive modeling techniques and in-sample and out-of-sample model assessment.
? Knowledge of at least one operating system supported by SAS software .
? SAS certification.
? Knowledge of Financial, HR or Sales data.
? Ability to communicate with people of various technical and non-technical backgrounds, think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and non-statistical SAS users.
? Ability to gather requirements, develop plan and communicate results.
? Strong presentation and project management skills
O ther knowledge, skills, and abilities

? Have strong technical and non-technical communication skills both written and verbal.
? Work well with at least two operating systems supported by our software.
? Work well on your own and as part of a team.
Why SAS

? We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference.
? Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn t about fitting into our culture, it s about adding to it - and we can t wait to see what you ll bring.
Additional Information:

SAS looks not only for the right skills, but also a fit to our core values. We seek colleagues who will contribute to the unique values that makes SAS such a great place to work. We look for the total candidate: technical skills, values fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.

SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Equal Employment Opportunity is the Law. Also view the supplement EEO is the Law, and the notice Pay Transparency. Equivalent combination of education, training and experience may be considered in place of the above qualifications. The level of this position will be determined based on the applicant's education, skills and experience.?Resumes may be considered in the order they are received.?SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

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Associated topics: actuarial, actuarial consultant, actuarial director, assistant actuary, associate actuary, cost, investment actuary, life actuary, retirement actuary, risk
Associated topics: actuarial, actuarial analyst, actuarial director, actuary, associate actuary, investment actuary, probability, retirement actuary, risk, statistics

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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