Data Scientist 3

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Job description

Title: Data Scientist 3

Duration:12 Months

Location: Atlanta GA 30309

Position: Onsite

MAJOR JOB RESPONSIBILITIES:

Creating, enhancing, and deploying statistical models using machine learning algorithms to inform growth

decisions and strategies across

o Develop a framework for Machine Learning/AI. Train others on the framework. Evaluate and

monitor model performance. Make recommendations on model edits and when they are needed.

o Leverages quantitative research; relates, compares, models and maps data from different sources

and makes logical assumptions; evaluates market conditions, customer data, internal metrics and

competitive landscape to identify key business opportunities; analyzes program results and

recommend next steps.

o Manage multiple, concurrent projects with competing deadlines.

Managing data and supporting analysis request for the Product Sales of Market Strategy

o Maintain and manage the customer participation data for Product Sales.

o Analyze sales data to monitor sales performance.

o Identifies customer trends to determine the potential impact and success of proposed strategies.

Recommends enhancements to current and proposed offerings.

o Manages large amounts of data and appropriately applies data reduction and exploratory analysis

techniques.

o Creates and maintains quality documentation, metadata, data pull instructions, data dictionaries,

etc. for technical and non-technical staff.

Supporting the organization's access to, understanding of, and engagement with internal and external data

sources and systems

o Works with a variety of technologies (including but not limited to SQL, R, Python, Excel, SAS,

Azure, and Power BI) to design, develop and distribute business intelligence solutions.

o Performs ETL design and development.

o Identifies key information sources, assesses information quality and understands and

communicates limitations.

o Builds reports, data visualizations, and BI solutions, including presentation layer delivery.

o Identifies data anomalies and works with business units to perform root cause analysis and

resolves any issues.

Education, Certifications/Licenses:

Required:

Bachelor's Degree in Business Analytics, Statistics (Theoretical/Computational), Applied Mathematics,

MIS, Computer Science, or a related analytical field.

Related Work Experience:

Required:

3-5 years of professional experience in analytics, marketing, business analysis, spatial analysis. Advanced

statistical and predictive modeling experience using both supervised and unsupervised modeling

techniques.

Preferred:

Experience manipulating large datasets and databases with working knowledge of Hadoop or other big

data cloud technologies (e.g. Azure or AWS)

Extensive knowledge doing Machine Learning, Artificial Intelligence, and/or production level model

deployment in the cloud

Experience in coding, testing, and implementing campaign data initiatives using real-time decision-making

marketing technology

Experience in database marketing working with campaign strategies and execution

Experience in marketing analytics

Experience in Geographic Information Systems (GIS)

Applicant may possess a combination of equivalent education and work experience.

Specific Skills & Knowledge:

Required:

Strong technical competency and programming skills in large-scale data analysis using coding/querying languages including at least one of SAS, Python, or R.

Others desired to be cognizant of are Spark, T-SQL, and PL-SQL.

Analysis, design, development, test, troubleshooting and documentation of complex systems including several of the following: predictive models, feature extraction, data-driven analysis, application of machine learning algorithms, text mining, decision support, variable selection and model fit

Knowledge of data migration and integration across datasets and technology platforms

Deep analytical capability to debug, monitor, and troubleshoot issues with data solutions

Effective communication (verbal/written) and leadership skills to foster enterprise influence on data-driven business decision-making

Ability to transform technical jargon into meaningful business insight at varying levels of the organization

Comprehensive consulting skills with proven ability to work with and influence others

Excellent customer service skills and focus on delivery with a positive attitude

Self-starter with ability to work independently with minimal guidance

Continuous self-learner with perspective on industry trends in the data space

Ability to handle multiple assignments and conflicting priorities

Ability to build productive relationships with a focus on cooperation and teamwork

Experience with data visualization in Power BI, Tableau, SSRS, or other comparable tools.

Experience working with large enterprise databases with demonstrated ability to independently query and prepare data for analysis.

Familiarity with Machine Learning, Artificial Intelligence, and/or production level model deployment.

Basic HTML knowledge

Knowledge of front-end tools such as query tools, report writers, data mining, and analysis tools.

Advanced level of proficiency with Microsoft Excel, Access, Word, and PowerPoint

Ability to locate and summarize data characteristics

Experience in translating and documenting business needs to technical requirements

Strong project management skills

o Ability to prioritize and manage multiple deadlines

o Ability to hold self and others accountable for results

o Ability to prioritize and work multiple concurrent requests from different business teams

Comfortable within a fast-paced, deadline-driven and changing environment

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