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Manager Digital Marketing Data Scientist Jobs (NOW HIRING)

Translate digital and marketing performance data into executive insights and recommendations that ... Manage agencies, technology partners, and external vendors to ensure quality execution, platform ...

A highly skilled and strategic Digital Marketing Manager who develops data-driven media scenarios to inform channel mix and budget allocation. In this role, you will report to the Senior Director of ...

Digital Marketing Data Analyst

New York, NY · On-site

$94K - $117K/yr

... CRM, SEM/SEO Identifying patterns through exploratory regression analyses across datasets A/B ... science a plus Strong communication and writing skills Ability to multitask and deliver quality ...

The Society is recognized as a leading source for scientific conferences, peer-reviewed and indexed ... Analyze data, campaign metrics, and operational email performance; recommend/implement improvements ...

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Manager Digital Marketing Data Scientist information

What is the difference between Manager Digital Marketing Data Scientist vs Digital Marketing Data Scientist?

AspectManager Digital Marketing Data ScientistDigital Marketing Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Marketing, or related fields; experience in team managementBachelor's or Master's in Data Science, Statistics, or related fields; technical skills in analytics
Work EnvironmentLeads teams, collaborates with marketing and analytics departmentsFocuses on data analysis, modeling, and insights generation
Employer & Industry UsageUsed in marketing agencies, e-commerce, and corporate marketing teamsCommon in digital marketing agencies, e-commerce, and tech companies

The Manager Digital Marketing Data Scientist oversees analytics teams and strategic initiatives, while the Digital Marketing Data Scientist primarily focuses on data analysis and modeling. The managerial role involves leadership and coordination, whereas the data scientist role emphasizes technical expertise in data analysis.

What cities are hiring for Manager Digital Marketing Data Scientist jobs? Cities with the most Manager Digital Marketing Data Scientist job openings:
What are the most commonly searched types of Digital Marketing Data Scientist jobs? The most popular types of Digital Marketing Data Scientist jobs are:
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Digital Marketing Data Scientist

Alten Calsoft Labs

Palo Alto, CA

Contractor

Re-posted 4 days ago


Job description

Company Description

ALTEN Calsoft Labs is an engineering and IT services company that innovates, integrates and transforms business leveraging digital technology.

Job Description

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.

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.

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.

 

Qualifications

         Total Indicative Experience: 4-7 Years (or equivalent education) with experience in Digital Marketing specifically.

         Hands-on experience with one or more of the primary data science tool-sets: R, SAS, SPSS, Python, and models such as ARIMA.

         Hands-on experience with Adobe Analytics, Tableau and/or Power BI.

         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.

         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.

         Good business & technical communication skills, both verbal and written. Ability to explain and present analytics concepts to non-technical audiences. Ability to establish & cultivate relationships with all stakeholders.

         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.

         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).

Additional Information

All your information will be kept confidential according to EEO guidelines.