Current Openings at WorkStaff USA Staffing Agency

Data Scientist PhD-Marketing Focus
Location:
US-OH-Cincinnati
Compensation:
$100K - $130K / Year
Minimum Education:
Doctorate
Job Type:
Full Time
Jobcode:
000870
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Do you enjoy designing enterprise level research and analytic frameworks? How would you like to turn on your creative genius and problem-solving alongside business leadership? You will be using Big Data and advanced analytics to direct the engagement of our marketing business leaders as well as collaborating actively across functional partners to accomplish various project objectives.

We are looking for someone who can execute research and analytics, including data source identification, processing, model/algorithm development. Ultimately your models will result in actionable recommendations which will drive business value creation.


You will get your hands dirty in the data and algorithm development, leveraging artificial intelligence and analytic tools (R, Python, Scala, Spark, Hadoop, KNIME, etc.) to unlock business building insights in our mountains of data.
You will need to be adept at leveraging such technologies for solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions applied to retail problems.


At this company Data Scientists are Business Leaders. The ideal candidate will be an effective communicator, self-motivated, and able to drive insights into actions that improve business results. Your Business knowledge, interpersonal/communication skills are therefore a requirement to thrive in a multi- functional leadership team.

We need someone who is passionate about analytics. Your analytic skills are the foundation of this role. The ability to mine terabytes of data, derive actionable insights, and then translate those insights into business improving action is essential in our work.
You will need to be the primary evangelist to the business for the power of predictive analysis and develop business cases to illustrate the potential for change in decision-making that occurs when you begin to anticipate what will happen, versus just reflecting on what has occurred.


Qualifications:
- Leaders who are pursuing or have graduated with a PhD in Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Operation Research, Software Development, or a similar quantitative field.
- Ability to do hands-on mathematical algorithm development as well as programming.


If you are a good fit for the Data Scientist PhD position, you will have on resume:

•Proven leadership in applying and scaling Analytic techniques to be used at an enterprise level.
•(Preferred) Experience working with granular media data including programmatic environments, .com, search optimization, customer-relationship management.



Preferred Specialties/Area of Research:

•Bayesian Analysis, Bayesian Decision Theory
•Probabilistic Modeling and Computation
•Machine Learning, including Deep Learning

Uncertainty Quantification
•Optimization (global, local, stochastic methods)
•Dynamic (state-space) Models (Kalman Filter, Data Assimilation)
•Experimental Design
•Model Reduction, Dimensionality Reduction



Preferred Experience with Analytical Tools/Applications:

•Unix/Linux
•Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hiv
•Scientific Computing: R, Python, C++, Java, Scala,
•High-Performance Parallel and Distributing Computing
•Deep Learning frameworks: Keras, Tensorflow
•Data Visualization
•Data Management Systems
•Business Intelligence tools: such as KNIME, Tableau


Additional Job Information to note:

Is Relocation Available?
Yes, nationwide

Are you open to sponsorship?
Yes

This position is:
New Position

Is there a possibility to work remote?
No

Is there equity?
Yes

Are there flexible work hours?
Yes

Does this position have direct reports?
No

What are the 3-4 non-negotiable requirements on this position?
(Must Have on resume)
•Proven leadership in applying and scaling Analytic techniques to be used at an enterprise level.
•(Preferred) Experience working with granular media data including programmatic environments, .com, search optimization, customer-relationship management.

What are the nice-to-have skills? (Must Have on resume)
Bayesian Analysis, Bayesian Decision Theory
•Probabilistic Modeling and Computation
•Machine Learning, including Deep Learning
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WSUSA
WorkStaff USA Staffing Agency, LLC
P.O Box 177
Farmingville, NY 11738
Fax: 2534989854
Phone: 6317902467

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