Data Scientist

Data Scientist Job Functions :

• The Data Scientist position will sit onsite at our new corporate office in Steele Creek, Charotte North Carolina.
• No work-sponsorship offered for this position at this time. This is a full-time position.
• Implementing Machine Learning platforms, such as MS Azure, from the ground up.
• Use advanced data modeling and analysis techniques to distill insights that will guide strategic decisions and uncover optimization opportunities.
• Transform data science prototypes and apply machine learning algorithms and tools to automate predictive models.
• Communicate the business value and champion analytics as a central decision-making resource.
• Architect and work closely with other team members to develop scalable data analytic solutions.
• Apply the latest technologies and methodologies in machine learning, data mining, and predictive analytics to correlate disparate datasets and events, and derive value.
• Identify valuable data sources and automate mining / collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of data / information to discover and articulate trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Develop conclusive insights using statistical methods.
• Make and defend arguments using data and data-based insight.
• Gather business requirements from end users and oversee the build of technical solutions from concept to implementation.
• Leverage a variety of data mining / data analysis methods in order to test and propose effectiveness of different courses of action.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Monitor the effectiveness of marketing channels, focusing on the balance between existing donor volume against the volume and quality of new donors.
• Collaborate with business stakeholders to identify, prioritize, and develop new marketing ideas, leading the implementation of chosen initiatives that integrate company strategy and best practices.
• Build and analyze marketing tests to understand impact of marketing initiatives and make sure that the highest return initiatives are adequately scaled, measuring ROI with accuracy and rigor.
• Examine, interpret, and report results of analytical marketing initiatives and tests to stakeholders in leadership, technology, marketing, and field functions.
JOB SPECIFICATIONS :
• Credentials
• Credentials
• Bachelor's degree +5 years or Master's degree +3 years of relevant experience in statistics, mathematics, computer science, operations research, industrial engineering, economics, or a related field.
• Computer programming / Data engineering
• Experience working with enterprise data warehouses, building data pipelines, and feature engineering.
• Working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence / Machine Learning (AI / ML) tools (preferred : Azure).
• Experience using statistical computer languages to manipulate data and draw insights from large data sets (required : SQL, R or Python;

preferred : Spark, SAS, Julia, SPSS).

• Preferable experience implementing machine learning tools such as Azure from the ground up.
• Preferable experience with CRM software (preferably Salesforce). Preferable experience with extracting data from CRM via API.
• Statistical Modeling
• Strong statistics / econometrics background with solid understanding of sampling, statistical inference, hypothesis testing, regression analysis, time-series models, hierarchical models, etc.

Ability to interpret models and findings and speak to both technical and non-technical audiences.

• Experience using statistical modeling techniques listed above to drive strategic decisions from raw data to actionable insights.
• Preferable experience in marketing analytics, including experiment design and measurement, A / B testing, segmentation, churn analysis / mitigation, and propensity modeling.
• Data visualization
• Experience with data visualization software (Tableau, Power BI, MicroStrategy, Qlik, think-cell, etc.) and distilling data into meaningful graphics.
• Individual skills
• Excellent communication and presentation skills; ability to communicate technical results to non-technical audience.
• Experience supporting digital transformation of workflows and business processes.
• Strategic mindset with strong organizational, analytical, quality detail orientation, negotiation, decision-making, time management, and process improvement skills.
• Works well in a collaborative, team-oriented environment.
• Ability to work autonomously with very limited supervision.
16 days ago