Job Description

We are looking for an experienced data science analyst to join our talented team of Economics professionals. The ideal candidate holds a Bachelor\xe2\x80\x99s or Master\xe2\x80\x99s degree in fields related to economics, statistics, data management, and computer science. Ideally, the candidate has had 2-5 years of experience working closely with real-world data.

The primary role at Mather Economics will be to work with the Director of Research and Product Development with growing and developing new processes, analytics, and products, to support both internal and client needs. The Data Science Analyst III will be responsible for learning Mather Economics\xe2\x80\x99 proprietary operations and Big Data practice, including key coding and statistical languages, such as Hive, Pig, R, Stata, Unix, and other languages as needed. The role will serve multiple priorities across the company.

The major function will be planning and developing new methods to transform raw unstructured data into consistent and usable data for a variety of outputs. The Data Science Consultant will also be expected to assist in the development of new modeling techniques using machine learning and other advanced statistical methods. Lastly, he or she will assist in the creation of new reporting and visualization for both internal and external audiences. In this role, the data science consultant will also support the Director of Research and Product Development with the preparation of deliverables and recommendations for individual projects and clients as needed.

Working with other consulting teams in a cross-company environment should be expected as new research and development becomes part of daily work operations, standard practices, and established in templates. Mather Economics\xe2\x80\x99 analysts and economists will be the direct users of the data and research to deliver custom analysis and deliverables as required by each client engagement. The successful candidate works autonomously, is proactive, takes initiative and is an avid problem solver. He or she exercises excellent judgment at all times, is customer focused, possesses excellent communication skills and works well with others across all levels of the organization.

The successful candidate must have a demonstrable knowledge of skills and prior performance required to be successful in this role, such as:

• Handling large datasets
• Cleaning and ensuring data consistency using any of the following or comparable tools: SQL, Excel, VBA, Stata, R, SAS, Python, Unix, Hive, Spark, Pig, Hbase, JavaScript\xe2\x80\xa6etc.
• Developing statistical models to forecast trends, predict outcomes, or measure relationships using any of the following or comparable techniques: linear regression, discrete choice models, machine learning, risk management, survival analysis, decision trees, clustering\xe2\x80\xa6etc.
• Preparing reporting and visualization of complex statistical modeling using any of the following or comparable tools: PowerPoint, Excel, R, Prezi, Tableau, LogiXML, Pentaho\xe2\x80\xa6etc.
• Presenting the approach, analysis, results, and recommendations in a concise and understandable form to superiors and a non-technical audience
• Ability to learn complex processes, data, and concepts and apply the new information immediately to a new set of projects/goals
• Strong sense of ownership, responsibility, and maturity in daily work functions
• High level of motivation and aptitude under a challenging and dynamic environment

Requirements and Qualifications for the position:

• Bachelor\'s degree or higher in economics, statistics, computer science, IT, or related fields
• 2-5 years of experience using common statistical and data management tools, such as SQL, SAS, R, Stata, Python, Excel, Unix
• Demonstrated experience with large real-world data
• Demonstrated experience developing a project from start to completion, including data collection/preparation, modeling selection and application, and presenting results/recommendations to others
• Ability to be flexible and adaptive in a dynamic and changing environment as directed by development/client needs
• Prior experience working in a consulting or business environment
• Strong communications skills, both verbal and written
• Strong Time Management and Project Management skills
• Ability to work and learn autonomously but use proper judgment of when to escalate questions to supervisors
• Strong collaborator and team-player who is results-driven

Mather Economics is a business consultancy specializing in applied economics. Our work utilizes econometric analysis to develop implementable business solutions such as optimal pricing recommendations, suggested inventory levels, sales forecasts, asset valuation, subscription pricing and customer retention. We employ leading-edge econometric approaches to solve complex business problems, and assist our clients as they implement these solutions to maximize operating margins, grow revenue, or lower costs. We help companies use their own data to develop and maintain competitive advantages by adding value with our intelligent business solutions.

Mather Economics has worked in many industries including, but not limited to: Lottery, Publishing & Media, Energy & Utilities, Technology, Telecommunications, Litigation support and Environmental Valuation Services.

This is an excellent opportunity to work with talented and smart individuals providing solutions to a global client base across multiple industries and to shape the future of Mather Economics\xe2\x80\x99 lines of business that are dependent on Big Data technology.

This position works out of our headquarters in the Sandy Springs area of Atlanta. This a full-time salaried position with full health benefits, 401K, paid vacation, and an annual bonus.

Currently, Mather Economics is not hiring students that are part of the F-1 OPT under the STEM-designated degree program. We are unable to provide visa sponsorship now or in the future.

Applicants must be currently authorized to work in the United States on a full-time basis.

Mather Economics, LLC