Marketing Data Scientist Resume Sample
Quentin Grady
5673 Mante Plain,
New York,
NY
+1 (555) 950 9531
Work Experience
Senior Marketing Data Scientist
09/2016
-
PRESENT
Detroit, MI
- Work with Ditech Marketing team and other stakeholders to identify opportunities to apply statistical modeling, machine learning and related techniques
- Identify and create models and algorithms to discover customer and product patterns
- Help design marketing experiments and test hypotheses to validate results
- Identify data needs – tap internal and external data sources
- Work with IT to support data collection, integration and storage
- Communicate results to business stakeholders with clarity and accuracy
- Implement enhancements/ fixes to decision systems and statistical models as needed
Marketing Data Scientist
11/2009
-
06/2016
New York, NY
- Interpret business requirements into user stories and develop technical designs for application development
- Design, implement and maintain system-related applications. Take part in application development activities
- Conduct applications analysis, programming, debugging and testing
- Support team members in various team activities
- BS/MS in Computer Science, Marketing, Mathematics or equivalently technical disciplines
- Solid hands experience with Java and JSP
- JavaScript, HTML5/CSS
Marketing Data Scientist Intelligent Customer Interactions
06/2004
-
08/2009
Dallas, TX
- Experience in developing web services (SOAP, Restful)
- Hands-on experience with Eclipse or other Java IDE
- Proficient in Oracle SQL and PL/SQL
- Working knowledge and experience on Linux
- Have a customer focused mindset and desire to do innovations
- Develop roadmap for Wayfair’s algorithmic bidding platform
- Adapt platform for use across Wayfair’s portfolio of brands
Education
Furman University
1999 - 2003
Science's Degree in Mathematics
Professional Skills
- Strong demonstrated quantitative and qualitative research skills using standard statistical software such as SAS, R, Stata
- Strong attention to detail, excellent organization skills, and ability to lead complex projects
- Strong programming skills (SQL) and statistical modeling (like SAS or R) and ability to use these tools with large datasets for pattern detection
- Good quantitative skills, ideally including knowledge of econometric or statistical analysis, R, Python, SQL and any other programming language experience
- Excellent communication skills (both written and verbal) to interface with internal teams and external partners
- Excellent written and oral communication skills with the ability to explain your views in a concise and coherent way
- Outstanding written and oral communications skills, and group facilitation capabilities
How to write Marketing Data Scientist Resume
Marketing Data Scientist role is responsible for modeling, software, research, analysis, database, quantitative, sql, digital, retail, finance.
To write great resume for marketing data scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Marketing Data Scientist Resume
The section contact information is important in your marketing data scientist resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Marketing Data Scientist Resume
The section work experience is an essential part of your marketing data scientist resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous marketing data scientist responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular marketing data scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Marketing Data Scientist resume experience can include:
- Proven business acumen with strategic and analytical capabilities, with experience using data to help drive strategy and business decisions
- A self-starter who can work independently, effectively multi-task, execute quickly and move to the next project
- Develop documentation that effectively communicates findings and insights to ensure that key stakeholders understand the business implications for analyses
- Selects the optimal modeling approach based on an effective understanding of the business problems and requirements
- Influences business partners and senior leadership on the effectiveness of machine learning/predictive modeling to solve their business problems
- Experience doing quantitative analysis in digital environments
Education on a Marketing Data Scientist Resume
Make sure to make education a priority on your marketing data scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your marketing data scientist experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Marketing Data Scientist Resume
When listing skills on your marketing data scientist resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical marketing data scientist skills:
- Good applied statistics and mathematics skills
- Demonstrates highly proficient skills in each of the following areas: quantitative/statistics, programming, and analytic communication
- Good interpersonal skills, self-motivated, dynamic and can-do attitude
- End-to-end experience applying statistical and machine learning in a production environment, including ETL, data quality analysis, model validation and scoring
- Hands on experience in leading industry technologies such as SAS, R, SPSS, Python including a strong understanding of data structures
- Prior experience in fast moving consumer technology environment such as mobile, e-commerce, marketing analytics, media or games
List of Typical Experience For a Marketing Data Scientist Resume
1
Experience For Digital Marketing Data Scientist Resume
- Experience with Adobe products is required; experience with Audience Manager is useful
- Proven experience in Celebrus Customer Data Platform (or similar tool)
- Previous experience in data science or marketing analytics role
- Develop, validate, deploy and evaluate predictive models (e.g., Decision Trees, Logistic Regression, Neural Networks) to address business problems
- Experience with Adobe products is required
- Explains how audience drives conversion rates and overall campaign effectiveness
- Handling data from multiple sources and disparate databases to construct conclusions and strategies
- Forecast various marketing channels using Excel, R, or other statistical methods
- Perform data exploration, cleansing, transformation and data visualization using data science tools
2
Experience For Senior Marketing Data Scientist Resume
- Consult and advise campaign teams on how to increase efficiencies of direct marketing based on modeling
- Conducts customer/audience analysis to support campaign design, including customer segmentation definitions and preliminary sizing and overlap analysis
- Comfortable writing and working with complex queries in SQL/Hadoop
- Uses best practices to develop statistical, machine learning techniques to build models that address business needs within the Marketing space
- Deliver tactical and strategic marketing, sales, finance, and business insights through analytics, reporting and state of the art visualization techniques
- Data mining and integration from multiple sources to create customer insights, forming a complete picture of customers, the market and areas of opportunity
3
Experience For Marketing Data Scientist Manager Resume
- Confidence in working in a very fast-paced
- Statistical modeling -- develop models to describe the relationship between any business-relevant independent and dependent variables
- Utilize advanced statistical modeling techniques to measure customer churn and engagement
- Continuously analyze and test new data sources for bidding
- Research latest in auction dynamics and bidding strategies
- Uses best practices to develop statistical, machine learning techniques to build models that address business needs
- Guides dedicated offshore Data Science teams on project delivery and manages various analytical and modeling projects with small numbers of team members
4
Experience For Marketing Data Scientist Intelligent Customer Interactions Resume
- Provide provisional reporting for interdepartmental groups and project managers
- Manages data requests to internal engineering teams to improve the accuracy of our data and decisions made from data analysis
- Understands the business’ problems to identify the optimal modeling approach
- Partner with IT and other ‘analytics’ areas to develop best in class processes and techniques to leverage data science across MetLife
- Marketing forecast development -- analyze all available existing data sets to determine which variables are more predictive of marketing awareness building and lead generation performance
5
Experience For Marketing & Data Scientist Resume
- Identification of opportunities for process improvement and innovative solutions to marketing analytics challenges
- Data management -- work with IT to develop and maintain databases that support marketing analysis
- Work directly with analytically savvy client resources as the analytics point of contact to manage and contribute to analytic roadmaps
- Development of predictive, response, look-a-like and engagement models
- Conduct hands-on analysis of customer and campaign data using analytical and statistical tools such as SQL/SAS to uncover insights and provide program recommendations
- Develop data integration routines for pricing data, performance data, and partner recommendation files using Oracle SQL, PLSQL, Python, or other ETL technology
- Develop, own, and improve bidding algorithms for daily optimization using R or Python
- BA/BS preferably in maths, statistics, marketing or economics
- Build reports in Tableau and other visualization tools
6
Experience For Marketing Data Scientist Test Design Resume
- As department data science expert, provide direction to leadership and partner teams
- Be comfortable on either side of the traditional data science-data engineering boundary to develop new ideas and initiatives and create an environment that supports innovation and process improvement
- Utilize a multidisciplinary approach to data science problems combining technical expertise, data science knowledge, and business knowledge
- Responsible for model deliverable quality assurance process
- Uses and learns a wide variety of tools and languages to achieve results (e.g. R, Python, Hadoop, MapReduce, Spark)
7
Experience For Marketing Data Scientist Resume
- Communicates findings to ensure models are well understood and incorporated into business processes
- Trains, develops, and teaches junior modelers
- Maintains a friendly and collaborative work environment
- Extract and aggregate consumer data as needed for model development from multiple data platforms and environments
- Determine and recommend data science, machine learning techniques that can be used to improve efficiencies of direct marketing, customer retention, and cross sell opportunities/results
- Identify and recommend improvements to enable increased campaign results
- Identify, investigate, and document possible root causes of trends, issues, and performance gaps based on analyses and campaign results to determine improvements and recommendations
8
Experience For Digital Marketing Data Scientist Resume
- Monitor and evaluate progress of improvement initiatives through conclusions including the impact of the predictive models on the marketing campaign results
- Work with key stakeholders to understand analytics objectives and needs, and develop appropriate tagging and segmentation strategy used by web analytics and personalization tools (Adobe Analytics, Adobe Audience Manager, Adobe Target, Adobe Launch, Adobe Campaign)
- Ensure the data generated by websites and campaigns is captured using correct tagging and data layers to the business
- Analyze data from multiple online and offline sources, including marketing campaigns (emails, banners, websites, SEM, and social), mcafee.com, 3rd party data, and CRM databases
- Analyze customer journey experience (participation, drop-off, asset utilization, etc.), response rates, website conversions, ROI, segmentation, and traits, and provide oversight on automated A/B testing and AI recommendations using Adobe Target
9
Experience For Senior Marketing Data Scientist Resume
- Deliver online customer analyses and recommendations, such as customer segmentation, retention and growth analysis, customer preferences, customer engagement and satisfaction, customer cross-sell/up-sell opportunities, and nurture participation rules
- Generate daily, monthly, and quarterly reports to communicate analyses and digital marketing effectiveness
- Experience with implementation of web analytics software and analytics tagging is required
- Experience in data mining and complex data analysis is required
- Strong proficiency working with large data sets and tools like Qlik Sense, Tableau, and Adobe Analytics Data Workbench
- Interpret results from A/B tests run using Adobe Target and recommend next steps to internal team or business stakeholders
- Analyse data from multiple online and offline sources, including marketing campaigns (emails, banners, websites), partner.hpe.com, 3rd party tools data, and PRM databases
10
Experience For Marketing Data Scientist Manager Resume
- Analyse partner journey experience (participation, drop-off, asset utilization, etc.), response rates, website conversions, ROI, segmentation, and provide oversight on A/B testing
- Deliver online partner analyses and recommendations, such as personas segmentation, partner preferences, partner engagement and satisfaction, partner cross-sell/up-sell opportunities, and nurture participation rules
- Strong proficiency working with large data sets and tools like Qlik Sense, Tableau,
- Interpret results from A/B tests and recommend next steps to internal team or business stakeholders
- Identifies additional data needs and supports data/operation team on the solutions
- Proficient in Python, R, and SQL
- Understands stakeholders’ requests, translates business questions to model/analytical problems, and describes potential solutions, issues, or limitations
- Identifies additional data needs and support data/operation team on the solutions
List of Typical Skills For a Marketing Data Scientist Resume
1
Skills For Digital Marketing Data Scientist Resume
- Hands-on skills in scrubbing, manipulating, analyzing, visualizing and modeling large data sets
- Advanced SQL skills - comfortable working with very large data sets
- Experience with A/B Testing, machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics)
- Leverages advanced analytics and machine learning to model customer behavior and lifecycle, including model development, testing, and validation
- Experience in marketing, product marketing or related field
- Experience in statistical and predictive modeling concepts, clustering and classification techniques, analysis of large volumes of data
- Experience using machine learning/artificial intelligence tools
2
Skills For Senior Marketing Data Scientist Resume
- Experience with large scale marketing campaign optimization with a focus on driving revenue and growth
- Experience in disrupting current business practices in CPG or related industries to help crafting a new go-to-market models
- Practical experience with Linear TV planning, Programmatic buying, & CRM orchestration
- Analyze the effectiveness of marketing campaigns and tactics such as looking at CTR, conversion rates, open rates, and participation in programs
- Experience working with digital marketing and communications
- Demonstrate your understanding of applied statistics/math to support hypotheses and business cases with robust modeling capabilities
- Experience using one or more scripting languages (e.g. Python, R, SAS)
- Experience performing statistical modelling
3
Skills For Marketing Data Scientist Manager Resume
- Experience working in an international environment and/or a central HQ
- Working experience
- Experience with and at least moderate aptitude in programming languages such as SAS, SPSS, R, SQL, or Python
- Handle competing priorities in a fast paced, dynamic, and lean environment
- +2 years experience in data science or marketing analytics role
- Good knowledge, genuine passion and interest of Gaming/tech/media industry trends required
- Experience of marketing and consumer analytics, campaign analysis, performance management, strategy and spend optimization
- +3 years experience in data science or marketing analytics role
4
Skills For Marketing Data Scientist Intelligent Customer Interactions Resume
- Develop and automate consumer data scoring for effectiveness and optimized sales results, as needed
- Recommend appropriate statistical solutions to business problems to ensure the effectiveness of marketing target audience list
- Experience with distributed machine learning and big data tools such as Hive, Pig, Spark, HBase, Hadoop etc
- Experienced in data management platform (DMP) to reach the audience through digital marketing channels
- Experienced in evaluating third party data sets to enrich audience and analysis look-alike model
- Experience with SQL; Python; R; C++/C
- Practical advanced analytics experience: modeling, data mining, analytical methods
- Experience in solving challenges in retail or CPG marketing problems
- Academic or professional experience in one or more of the following database query and management tools: SQL, Alteryx, Teradata QlikView
5
Skills For Marketing & Data Scientist Resume
- Experience in a combination of business intelligence / marketing analytic roles
- Proven ability to code and develop prototype solutions in languages such as Perl, Java, C
- Experience in predictive modeling and machine learning algorithms
- Demonstrated leadership in applying techniques to deliver actionable insights from data
- Experience with data mining software packages such as R, PYTHON, SAS, SPLUS
- Experience in one or more of the following statistical / analytic languages: Python, R, Apache Spark (or PySpark), Hive, Scala
6
Skills For Marketing Data Scientist Test Design Resume
- Experience in one or more of the following: database query and management tools (SQL, Spark, Hive / HQL etc.)
- Experience with very large analysis datasets and enterprise scale database systems (e.g. Large Hadoop, Hive, SQL tables etc.)
- Experience with R or Python (or similar) for data analysis and manipulation, process automation
- Experience with data visualization systems, preferably Tableau
- Experience in R, Perl, Python, Spark, or other languages
- Solid knowledge of web/app analytics tools (e.g., Google Analytics, Appsflyer)
7
Skills For Marketing Data Scientist Resume
- Business start-up/Direct-To-Consumer experience
- Experience in BI/Visualization tools such as Microsoft Power BI (desirable)
- Understanding of statistics, Modeling techniques and methods
- Understanding client objectives and creating analytics to support the desired outcomes
- Working with business partners, leads development of experimental design for business initiatives
- Understanding of database systems and concepts
- Analyzing data to explore improvement opportunities, assessing strengths through confidence of data
- Drives testing strategy and own testing roadmaps while collaborating with a testing committee with Interactive Marketing and Digital Engagement teams
8
Skills For Digital Marketing Data Scientist Resume
- Knowledge of marketing concepts: positioning, segmentation, direct marketing, digital marketing, mass media, etc
- Familiarity with digital marketing, direct response marketing and marketing KPIs
- Proficiency in statistical analysis, forecasting/predictive analytics and multivariate modeling & testing
- Leads work on data and problems across departments to drive improved business results through designing, building, and partnering to implement models
- Stay current on applicable machine learning techniques and their associated programming methods and leveraging FICO’s expertise
- Provide marketing team with design of experiments (DOE) recommendations and expertise to develop testing parameters for A/B Testing
9
Skills For Senior Marketing Data Scientist Resume
- Deep understanding of machine learning and statistical models with their underlying theory and math
- Works on data and business problems to drive improved business results through designing, building, and partnering to implement models
- Support marketers in the definition of clear success events for all the digital marketing activities and secure the implementation of the tracking process
- Contributes to extending a digital marketing data-driven mindset across the organization
- Builds programs for running statistical tests on data and for understanding correlation of various attributes
- Shown leadership in applying and scaling Analytic techniques to deliver actionable insights from data
- Thorough understanding of statistics (e.g., hypothesis testing, regressions)
- Develops project plans for complex and occasionally highly complex modeling/ machine learning and/or development projects
- Data cleansing/processing -- work with IT to create automated processes to ingest and cleanse data from multiple data sources, partners, and vendors
10
Skills For Marketing Data Scientist Manager Resume
- Conduct on-going analytic performance reviews with the goal of improving results
- Is the go-to resource for new statistics and machine learning techniques within the Retail Marketing team
- Create and deploy predictive models to enhance business knowledge of customer marketing interactions and shopping behaviors
- Improve Affinity Cross Basket Analysis purchases utilizing lift and market basket analysis modeling
- A knack for asking the right questions, then answering them with sound data and analysis
List of Typical Responsibilities For a Marketing Data Scientist Resume
1
Responsibilities For Digital Marketing Data Scientist Resume
- Evaluates digital campaign performance by developing robust A/B testing and/or multivariate testing procedures, and provides feedback and learning to stakeholders
- Strong analytical skills, detail oriented, solid business sense, and good problem-solving abilities
- Strong verbal and written communication skills, team oriented, and interpersonal skills
- Experience or familiarity with relational databases and statistical data analysis - intermediate to strong skills in SQL
- Demonstrated analytics skills in data science field
- Supports business intelligence (BI) tool set development and business partner teams to consume data insights more quickly and effectively
- Produce actionable insights from research projects that are effectively communicated
- Significant experience in managing multiple fast-moving priorities independently and/or in a cross-functional team environment to achieve goals
- Experience using statistical modeling and machine learning techniques to build models that have driven company decision making
2
Responsibilities For Senior Marketing Data Scientist Resume
- Experience partnering with Product/Eng. e.g. as a TPM
- Experience in an informal mentoring, and/or leadership role
- Experience in advanced quantitative modeling for market research
- Significant experience in statistical software and/or analytic programming languages to manage large data sets
- Work closely with team members to align priorities and timelines for deliverables
- Experience in Direct to Consumer Marketing including media and CRM
- Understanding of marketing performance and measurement metrics
3
Responsibilities For Marketing Data Scientist Manager Resume
- Apply, develop and improve methods and best practices in areas of Marketing Sciences, e.g. segmentation, conjoint, data fusion, sampling and weighting
- Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership
- Connect data findings and improvements to marketing results
- Foster knowledge exchange of Marketing and Data Science methods and best practices within GfK
- Support and coordinate Marketing and Data Science projects, innovations and research initiatives
- Provides feedback to stakeholders on best practices to achieve campaign goals for customers at different lifecycle stages
4
Responsibilities For Marketing Data Scientist Intelligent Customer Interactions Resume
- Supports operation and data team to productionize the model
- Understands complex data from multiple sources, and integrate them to enhance model development, and digital audience analysis
- Evaluates digital campaign performance by developing robust A/B testing and/or multivariate testing procedures, and provide feedback and learning to stakeholders
- Implement and optimize data solutions to support and drive business objectives using Microsoft Power BI processes and reporting
- Communicates model results and statistical analysis to senior management and business partners, including data/model limitations
- Accurately analyze various forms of data, provide feedback on validation, and make any necessary changes to processes and technology to improve operational effectiveness
- Embrace the movement toward predictive and prescriptive analytics, interact with development teams to outline various Celebrus Platform requirements, and provide ongoing support through communication, monitoring, and maintenance
- Familiarity with R and statistical modeling concepts and tools
5
Responsibilities For Marketing & Data Scientist Resume
- Develop & refine bidding algorithms for the various auctions that we participate in
- Collaborate with vendors and partners to understand challenges within the analytics organization and develop solutions to resolve perceived deficiencies
- Perform ad hoc analysis to inform business decisions
- Present insights and associated recommendations to cross functional partners and leaders
- Build analytical tools that enable scalable insights
- Deliver effectiveness measurement for multiple marketing vehicles simultaneously through the creation and management of complex statistical models built on millions of rows of data
6
Responsibilities For Marketing Data Scientist Test Design Resume
- The development and execution of a communication strategy, with appropriate coaching, that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work
- Experience with Media Mix Models and/or Multi-Touch Attribution methodologies, either as a vendor or as a client, with an in-depth awareness of the mechanics of the product(s)
- Knowledge of advanced modeling technique
- Builds and maintains media mix and lead attribution models to optimize marketing spend across channels and perform analysis to measure the effectiveness of multi-channel marketing campaigns
- Performs marketing campaign response analysis as required
7
Responsibilities For Marketing Data Scientist Resume
- Develops robust lead and appointment forecasts based on spend and market demand data
- Creates dashboards and/or visualizations of key data to ensure that internal stakeholders are kept apprised of progress on various initiatives
- Performs analyses on A/B and multivariate tests, compile results and present them to stakeholders in a timely manner
- Independence and technical proficiency in
- Developing insights, methods or tools derived from large datasets using various analytic methods such as predictive modeling, text mining, machine learning statistical forecasting, optimization, simulations etc
- Comfortable meeting with internal clients
- Comfortable communicating complex analytical results
8
Responsibilities For Digital Marketing Data Scientist Resume
- Predict customer behavior to identify and hone product and marketing opportunities and revenue potential
- Statistical modeling to determine the relationship between business-relevant variables
- Find secondary data, including primary research to append to data insights
- Works independently with program and communication oversight
- Accountable for own work product
- Develop customer segmentation and create targeted audiences
9
Responsibilities For Senior Marketing Data Scientist Resume
- Operationalize improvements through influence and collaboration
- Collaborate with internal business partners across divisions to integrate analytical tools and solutions into direct marketing, lead generation campaigns/initiatives, and agent/customer systems
- Develop and refine customer behavioral algorithms to help focus corporate and divisional activities supporting corporate growth, retention, customer experience and long term profitability
- Develop and test multiple hypotheses using results from analyses to generate and answer new questions leading to more in-depth understanding of customer behavior being studied
- Forecast initiatives to project strategic plan goals and assess current performance
- Identify potential issues that arise during the course of research projects and escalate and communicate these to management and internal clients for awareness/action/resolution
10
Responsibilities For Marketing Data Scientist Manager Resume
- Recommend & collaborate with cross functional marketing team to develop customer-centric integrated marketing campaigns based on data insights
- Identify, recommend and manage external suppliers/vendors assisting on analytical research projects, ensure projects meet departmental quality standards, research objectives, and delivered on time
- Lead ad hoc analysis of corporate-wide business problems of various scope and complexity
- Lead development of machine learning projects using varied advanced analytical techniques for estimating current and future customer engagement, prospecting new customers, cross-selling to existing customers (response models), and identifying customers likely to leave
- Make presentations of status and results of analysis to non-technical audience of various levels
- Manage multiple research projects under tight deadlines; ensure research projects are completed on time and meet internal client expectations
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