Marketing Data Scientist Resume Samples

Marketing Data Scientists are professionals who apply advanced analytical techniques to extract valuable insights from marketing data and enable evidence-based decision-making within a marketing team. Duties often listed on the Marketing Data Scientist Resume are – leveraging statistical modeling, machine learning, and data mining techniques to analyze customer behavior, optimize marketing campaigns, and predict market trends; and collaborating with marketing teams to develop data-driven strategies, enhance customer segmentation, and improve targeting and personalization.

Key skills include – proficiency in programming languages – Python, and R; experience with data visualization tools, a strong understanding of marketing concepts, excellent analytical and problem-solving skills, effective communication skills, hands-on experience with big data technologies, databases, and familiarity with marketing analytics platform, staying updated on advancements in data science and marketing technologies. Education-wise one needs to hold an advanced degree in data science, statistics, or computer science.

Marketing Data Scientist Resume example

Marketing Data Scientist Resume

Objective : As a Marketing Data Scientist, worked directly with one of our clients, a major retail firm, to assist with their marketing analytics and data science initiatives, utilized marketing analytics and data science techniques to discover key insights and deliver actionable recommendations for the client in the experimentation area.

Skills : Data Analysis, Statistical Modeling.

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Description :

  1. Built and utilized machine learning models to perform classification, regression, clustering, forecasting.
  2. Worked with marketing and customer data to derive insights.
  3. Helped to evaluate the effectiveness of various marketing campaigns.
  4. Developed presentations and reports with relevant findings and be able to present findings to key stakeholders.
  5. Worked collaboratively to tackle complex problems.
  6. Owned a portion of the data science and analytics roadmap of key marketing motions.
  7. Defined, measured, and provided insights on how to accelerate success across all marketing teams.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Bachelor of Science in Computer Science


Marketing Data Scientist Resume

Headline : As a Marketing Data Scientist, established robust data assets and pipelines to collect, clean, and transform marketing data, ensuring integrity, accessibility for analysis and modeling, and scalability for new business lines, channels, and geographies, designed, improved, and maintained business intelligence for all our marketing teams

Skills : Machine Learning, Data Visualization.

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Description :

  1. Developed and launched machine learning models that drive business impact (forecast customer behavior, identify highest-value prospects, personalize marketing messages).
  2. Designed and implemented measurement and attribution frameworks across marketing channels and funnel motions (between sales teams and marketing campaigns).
  3. Presented data-driven insights and recommendations to influence executive decisions.
  4. Made a positive difference in our growth trajectory.
  5. Tracked record of applying data science and analytics to solve marketing challenges.
  6. Skilled with data transformation and ELT/ELT pipelines best practices and tooling (incremental tables, metrics, data projects).
  7. Well earned with business intelligence best practices and tooling.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Bachelor of Science in Computer Science


Marketing Data Scientist Resume

Summary : As a Marketing Data Scientist, adapted statistical models to solve specific hard problems in fields of experimentation, LTV, and retention, tackled business-critical questions by developing and testing hypotheses, and aiding evidence-based decision makindg.

Skills : Proficiency in programming languages,Marketing Analytics.

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Description :

  1. Partnered with Product Managers, Data Engineers, Data Scientists, and Business Stakeholders to drive business decisions and product roadmaps.
  2. Worked with stakeholders to scope and define the needs of business and manage data engineering projects to ensure accuracy and timely delivery. 
  3. Expert in marketing mix models (MMM), multi-touch attribution (MTA) models, experimentation, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, and/or forecasting.
  4. Communicated effectively with audiences from other technical disciplines in both written and verbal skills.
  5. Mentored junior data scientists and offshore associates.
  6. Managed multiple projects with a large cross-functional team.
  7. Built strong working relations and improved workflow and organizational issues.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Management
Education
Education
Bachelor of Science in Computer Science

Marketing Data Scientist Resume

Objective : As a Marketing Data Scientist, performed data analysis; analyzed and tracked key marketing, sales, customer and financial metrics to foster process improvement and efficiencies, acted as liaison between the sales stakeholders and systems development, product development, marketing, and training organizations where necessary.

Skills : A/B Testing, CRM System.

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Description :

  1. Assisted in the integration of traditional insights for the development of more holistic and complete recommendations.
  2. Created reports and deliver presentations of findings.
  3. Worked with business subject matter experts to related to participant behaviors, attitudes and responses to various inputs and conditions.
  4. Developed standard and ad hoc reports using a variety of internal systems. 
  5. Integrated data from multiple sources into unified reports generating meaningful data.
  6. Worked knowledge of HTML, Google Tag Manager, CSS, and JavaScript development and constraints.
  7. Assisted sales teams in opportunity pursuit by providing subject matter expertise in Analytics.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Bachelor of Science in Computer Science

Marketing Data Scientist Resume

Objective : As a Marketing Data Scientist, played an advisory role to customers and prospects and provided thought leadership and execution direction, owned and executed, and built Advanced Analytics solutions for identified industry problem areas.

Skills : Digital Marketing, Big Data Technologies.

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Description :

  1. Designed and evaluated experiments to improve marketing actions efficiency.
  2. Worked knowledge of ad serving tools.
  3. Led and drove end to end data initiatives including working with data engineers to automate tracking, measurements and models.
  4. Created automated learning systems that gracefully scale to increasing complexity and expectation.
  5. Developed reports, visualization, and key performance indexes to track effectiveness of marketing and guide marketing decisions.
  6. Developed predictive, explanatory models and machine learning algorithms.
  7. Proactively identified gaps and opportunities for sales and marketing teams, and use data to generate leads and to drive revenue.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Bachelor of Science in Computer Science

Senior Marketing Data Scientist Resume

Summary : As a Senior Marketing Data Scientist, selected, applied, and tuned a diverse set of tools to coherently solve challenging business goals, collaborated with business teams to identify critical business problems and areas of opportunity and translate business questions into quantitative analyses.

Skills : Strong analytical, Problem-solving.

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Description :

  1. Skilled with data mining software packages such as R, SAS, SPLUS, SQL, and statistical algorithms typically used in Marketing Analytics.
  2. Interested in data visualization, reporting, and tool building to scale operations and increase the visibility of the data/results.
  3. Understood enterprise-level web analytics tools and underlying data (Adobe Omniture, Google Analytics Premium, Web Trends).
  4. Learned and leveraged multiple advanced statistical techniques to evolve the platform and drive step-change improvements in the scale of the marketing program and the associated revenue and profitability.
  5. Rapidly expanded the scope of the platform to address multiple marketing channels and customers at different stages of their consideration cycle.
  6. Adapted platform for use across a portfolio of brands.
  7. Drove change by closely collaborating with internal stakeholders on the Data Science, Engineering, Pricing, and Category Management teams.
Years of Experience
Experience
10+ Years
Experience Level
Level
Senior
Education
Education
Bachelor of Science in Computer Science

Junior Marketing Data Scientist Resume

Objective : As a Junior Marketing Data Scientist, worked experience in the financial sector or another business environment, expert with machine learning/data mining methodology and software SAS Enterprise Miner, SPSS Modeler, and Salford Systems.

Skills : Data Analysis, Interpretation.

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Description :

  1. Helped clients know everything they can about their customers and prospects, deliver exceptional customer experiences, and know if their marketing worked and how to make it better.
  2. Helped diagnose business needs, translate into questions that Transunion will answer, and architect data models to implement our solutions.
  3. Worked closely with other data scientists, consultants, and external clients to identify new insights, translate findings into the stakeholder’s native language and tell stories to make complex things simple to understand.
  4. Built and maintained statistical models that deliver value to our partner teams. 
  5. Led and conducted deep-dive research and analyses to identify opportunities.
  6. Interacted with multiple functional teams across the firm to provide and improve our end-to-end solution and implement new analytics capabilities: Data Operations, Solution Architects, Consulting Services, Product and Engineering.
  7. Drove and defined cross-functional best practices ensuring quality delivery and instituting processes to improve efficiency of our analytic solutions.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Junior
Education
Education
Bachelor of Science in Computer Science

Marketing Data Scientist Resume

Headline : As a Marketing Data Scientist, mentored junior data scientists while coordinating with data science leadership to align against broader business objectives and team development.

Skills : Programming Languages, Data Vizualization.

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Description :

  1. Developed next gen marketing analytics for unified consumer-centric solutions that incorporate new data assets such as individual identity data, cross-devices, addressable TV, segmentation, targeting, and test results.
  2. Interpreted business requirements into user stories and developed technical designs for application development.
  3. Designed, implemented, and maintained system-related applications. 
  4. Took part in application development activities.
  5. Conducted applications analysis, programming, debugging, and testing.
  6. Supported team members in various team activities.
  7. Utilized a multidisciplinary approach to data science problems combining technical expertise, data science knowledge, and business knowledge.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Bachelor of Science in Computer Science

Marketing Data Scientist Resume

Headline : As a Marketing Data Scientist, developed roadmap for Wayfairs algorithmic bidding platform, developed documentation that effectively communicates findings and insights to ensure that key stakeholders understand the business implications for analyses.

Skills : Machine Learning, Big Data Technologies.

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Description :

  1. Selected the optimal modeling approach based on an effective understanding of the business problems and requirements.
  2. Influenced business partners and senior leadership on the effectiveness of machine learning/predictive modeling to solve their business problems.
  3. Expert doing quantitative analysis in digital environments.
  4. Led industry technologies such as SAS, R, SPSS, and Python including a strong understanding of data structures.
  5. Built evaluation frameworks to measure marketing efficacy, funnels, and guide product development roadmap.
  6. Designed and developed reports and dashboards to present data.
  7. Consulted and advised campaign teams on how to increase efficiencies of direct marketing based on modeling.
Years of Experience
Experience
5-7 Years
Experience Level
Level
Executive
Education
Education
Bachelor of Science in Computer Science

Marketing Data Scientist Resume

Summary : As a Marketing Data Scientist, conducted customer/audience analysis to support campaign design, including customer segmentation definitions and preliminary sizing and overlap analysis, wrote and worked with complex queries in SQL/Hadoop.

Skills : Marketing Knowledge, Data Collection, Problem Solving.

Marketing Data Scientist Resume Model
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Description :

  1. Used best practices to develop statistical, machine learning techniques to build models that address business needs within the Marketing space.
  2. Delivered tactical and strategic marketing, sales, finance, and business insights through analytics, reporting and state of the art visualization techniques.
  3. Partnered with IT and other ‘analytics’ areas to develop best in class processes and techniques to leverage data science across MetLife.
  4. Analyzed all available existing data sets to determine which variables are more predictive of marketing awareness building and lead generation performance.
  5. Worked with IT to develop and maintain databases that support marketing analysis.
  6. Worked directly with analytically savvy client resources as the analytics point of contact to manage and contribute to analytic roadmaps.
  7. Conducted hands-on analysis of customer and campaign data using analytical and statistical tools such as SQL/SAS to uncover insights and provide program recommendations.
Years of Experience
Experience
7-10 Years
Experience Level
Level
Management
Education
Education
Bachelor of Science in Computer Science