Data Scientist

4 weeks ago

Charlotte, United States Octapharma Full time
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
    • 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.

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