Queries and mines large data sets, connecting data from disparate sources to identify insights and patterns.
Performs final quality check of data, applying both statistical and business knowledge to ensure accuracy of insights.
Conducts intermediate statistical analysis, e.g., linear regression, ANOVA, time series analysis, and classification models.
Contributes to advanced statistical analysis, e.g., development of production ready algorithms, neural networks, decision trees, as well as analysis of unstructured data, e.g., social media listening, digital footprints, speech analytics.
Summarizes findings in written and verbal reports to key stakeholders.
Plays an active role in preparing and presenting complex written and verbal reports, findings, and presentations.
Applies knowledge of the firm's businesses and industry knowledge to analysis and insights.
Is familiar with Agile practices and contributes to the team using Scrum and/or Kanban type activities.
DATA SCIENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DATA SCIENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DATA SCIENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract