Data Scientist 3 - Lancesoft : Job Details

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