Data Scientist 3

7 days ago

Atlanta, United States LanceSoft Full time
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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