Digital Marketing Data Scientist

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          "text": "<p>You will be a team member of the Digital Marketing Analytics team, working in the data sciences area, with specific focus on Digital Marketing business problems.</p><p>You’ll be responsible for supporting analytics that drive business optimizations across the customer end-to-end journey. This role will support the full cycle of an experiment (from data-driven hypothesis generation to test design to analysis and interpretation) while also innovating on experimental methodologies that allow us to obtain meaningful results.</p><p>You should have hands-on technical experience in statistics, predictive modeling and other data sciences, as well as extensive experience in developing data-sets for data science projects. The position requires superb communication and advanced analytical skills.</p><p><strong> </strong></p>",
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          "text": "<p>•         Total Indicative Experience: 4-7 Years (or equivalent education) with experience in Digital Marketing specifically.</p><p>•         Hands-on experience with one or more of the primary data science tool-sets: R, SAS, SPSS, Python, and models such as ARIMA.</p><p>•         Hands-on experience with Adobe Analytics, Tableau and/or Power BI.</p><p>•         Experience using advanced analytics techniques to tackle digital marketing business problems, such as, pre-funnel behavior analysis to predict insights in the digital journey prior to web form conversions, insights across tactics, multi-touch attribution, campaign sequencing, ROI analysis for paid campaign efficacy, and forecasting for pipeline metrics.</p><p>•         Working knowledge of methods such as regression, cohort analysis, hypothesis testing, cluster analysis with hands-on experience translating raw data from relational databases and Hadoop into modeling data sets (using Excel, SQL, SAS or other coding tools) is desired.</p><p>•         Good business &amp; technical communication skills, both verbal and written. Ability to explain and present analytics concepts to non-technical audiences. Ability to establish &amp; cultivate relationships with all stakeholders.</p><p>•         Proven project management and organizational skills. Ability to effectively prioritize time, manage expectations and deliverables. A self-starter, who proactively looks for new and better ways of doing things. Shows drive, passion and a sense of ownership.</p><p>•         Graduate degree in data sciences, advanced analytics, statistics or related fields is preferred, or equivalent on-the-job experience (experience in high-tech enterprise business-to-business industry is ideal, as is prior experience from a reputed analytics firm doing similar work).</p><p> </p>",
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          "text": "<p><em>ALTEN Calsoft Labs</em> is an engineering and IT services company that innovates, integrates and transforms business leveraging digital technology.</p>",
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