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Data Scientist

 
Location: Marietta, Georgia
ID Number: #N/a

Job Description:

The Data Scientist is responsible for supporting initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading or innovative analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. This role, ideally, needs to be knowledgeable in one or more data science specializations including, optimization (preferred), forecasting, reinforcement learning (genetic algorithm), recommendation or NLP.

 

As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. Additionally, this role will leverage advanced problem-solving skills to navigate ambiguous workstreams while balancing tight deadlines and other constraints. This role is expected to present insights and recommendations to technical /non-technical audiences and explain the benefits and impacts of the recommended solutions.

 

In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.

 

MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES

55% Solution Development – Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies

 

20% Communicating Results – Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation

 

10% Business Collaboration – Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals

 

15% Technical Exploration & Development – Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

 

Additional Qualifications:
Demonstrated experience in predictive modeling, data mining and data analysis

Preferred Qualifications:

– Masters in a quantitative field (Analytics, Computer Science, Math, Statistics, Engineering etc.) or equivalent work experience

– 3+ years of experience in business intelligence, analytics, data science and/or machine learning

– Experience in a modern scripting language (preferably Python)

– Experience in version-control (preferably GitHub)

– Proficient running queries against data (preferably with Google BigQuery or SQL)

– Proficient with data visualization software (preferably Tableau)

– Working knowledge of Microsoft Excel and Power Point

– Experience implementing the data science and machine learning development lifecycles

– Proficient utilizing statistical techniques to identify key insights that help solve business problems

– Knowledgeable in Predictive and Prescriptive Modeling

– Natural curiosity and tangible passion for learning and developing

– Willingness to collaborate across teams to share best practices and align on approaches

Recruiter
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Christopher Yates
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