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Data Scientist

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1 year engagement (with potential to extend)

Responsible for analytical support and statistical modeling for the purpose of maximizing revenue. Accountable for driving valuable fact-based and quantitative consumer insights from internal systems and to synthesize key findings which inform business and strategic marketing strategies.

Responsibilities:
-Data scientists interprets and apply data in analyses, and explain findings to business audiences typically, to improve products and processes.
-Projects support business decision making for multiple business functions.
-Develops and executes statistical and mathematical predictive model solutions to business problems.
-Frames problems then determines intended approach and quantitative methods to develop solution.
-Uses analytical rigor and statistical methods to analyze large amounts of data, culling actionable insights using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.
-Develops new algorithms and mathematical approach to understand the company’s audiences and solves complex business problems such as optimizing product performance, revenue and adoption.
-Researches new ways for modeling and predicting end-user behavior.
-Designs experiments to answer targeted questions.
-Documents projects including business objective, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
-Develops materials to explain project findings
-Works with marketing business units on special projects relating to formulating data driven solutions and analyzing core marketing data involving business activity.
-Assist management in promoting and developing a strong sense of analytics culture based on data facts, teamwork and contribution
-Support the production of customer predictive models (Decision tree, Linear / Logistic Multivariate Regression Modeling), analytical studies, and deliver accurate customer based insights on spending behavior, response modeling, customer scoring, forecasting, customer lifetime value, and other data sources compiled from multiple tools and sources.
-Ensure valuable model insights are evaluated for long-term reporting utilization. Build / Rebuild predictive models / segmentations supporting direct marketing
-Track effectiveness of marketing models, incremental sales and ROI per selection, interpret data models and provide insights to management.
-Assess relationships for sales KPIs and suggest promotions based on customer behavior
-Performs duties by collecting data, analysis, and makes recommendations to management relevant to the strategic direction of marketing programs.
-Analyzes market conditions, sales trends, customer preferences and competitive behavior
-Drive and ensure continued definition, evaluation and analytical review of campaign success metrics and customer segmentations
-Develop strategies for prioritization of analytical project initiatives through supportable analytical projects which identify greatest and most immediate financial impact or enhance customer experience
-Help with research related to customer based analytical practice and develop communications for management and strategies for building institutional knowledge

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