Marketing Data Scientist Resume Samples

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W O'Connell

Wendy

O'Connell

27392 Marvin Lights

Phoenix

+1 (555) 941 5902

27392 Marvin Lights

Phoenix

Phone

p +1 (555) 941 5902

Experience Experience

Dallas, TX

Marketing Data Scientist

Dallas, TX

White-Kunde

Dallas, TX

Marketing Data Scientist

Builds strong working relations and improves workflow and organizational issues
Perform data analysis; analyze and track key marketing, sales, customer and financial metrics to foster process improvement and efficiencies
Acts as liaison between the sales stakeholders and systems development, product development, marketing, and training organizations where necessary
Assist in the integration of traditional insights for the development of more holistic and complete recommendations
Create reports and deliver presentations of findings
Works with business subject matter experts to related to participant behaviors, attitudes and responses to various inputs and conditions
Develop standard and ad hoc reports using a variety of internal systems. Integrate data from multiple sources into unified reports generating meaningful data

Detroit, MI

Digital Marketing Data Scientist

Detroit, MI

Corwin Group

Detroit, MI

Digital Marketing Data Scientist

Working knowledge of HTML, Google Tag Manager, CSS, and JavaScript development and constraints
Assist sales teams in opportunity pursuit by providing subject matter expertise in Analytics
Play an advisory role to customers and prospects and provide thought leadership & execution direction
Own and execute, build of Advanced Analytics solutions for identified industry problem areas
Designing and evaluating experiments to improve marketing actions efficiency
Working knowledge of ad serving tools
Design and develop reports and dashboards to present data

present

Phoenix, AZ

Senior Marketing Data Scientist

Phoenix, AZ

Treutel Inc

present

Phoenix, AZ

Senior Marketing Data Scientist

present

Lead and drive end to end data initiatives including working with data engineers to automate tracking, measurements and models
Create automated learning systems that gracefully scale to increasing complexity and expectation
Develop reports, visualization, and key performance indexes to track effectiveness of marketing and guide marketing decisions
Develop predictive, explanatory models and machine learning algorithms
Proactively identify gaps and opportunities for sales and marketing teams, and use data to generate leads and to drive revenue
Select, apply, and tune a diverse set of tools to coherently solve challenging business goals
Collaborate with business teams to identify critical business problems and areas of opportunity and translate business questions into quantitative analyses

Education Education

Bachelor’s Degree in Marketing

University of Florida

Bachelor’s Degree in Marketing

Skills Skills

Strong working knowledge of advanced data mining tools
Excellent and deep knowledge of Excel
Working knowledge of marketing analytic tools such as SAS, R, Qlickview/Tableau/Domo, Business Objects
Conceptual modeling: ability to share and articulate modeling
Excellent data mining skills
Strong communication and project management skills
Hypothesis testing: being able to develop hypothesis and test them with careful experiments
Predictive modeling: ability to utilize predictive analysis for future outcomes to address business problems
Knowledge of typical data science tools such as SQL, R, Python, Excel VBA, possibly Perl
Prior experience in a data science role is desirable

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15 Marketing Data Scientist resume templates

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Marketing Data Scientist Resume Examples & Samples

Graduate or undergraduate degree with quantitative focus such as Economics, Statistics, Mathematics, Decision Science, Operational Research, Computer Science or Engineering
8+ years of experience in analytics used to optimize multi-channel (including on-line) marketing strategy and campaigns
Experience with data mining software packages such as R, SAS, SPLUS, SQL and statistical algorithms typically used in Marketing Analytics
Experience and interest in data visualization, reporting, and tool building in order to scale operations and increase visibility to the data/results
Understanding of enterprise level web analytics tools and underlying data (e.g., Adobe Omniture, Google Analytics Premium, Web Trends, etc.)

Marketing Data Scientist Resume Examples & Samples

Develop roadmap for Wayfair’s algorithmic bidding platform
Learn & leverage multiple advanced statistical techniques to evolve the platform and drive step change improvements in scale of marketing program and the associated revenue & profitability
Rapidly expand scope of platform to address multiple marketing channels and customers at different stages of their consideration cycle
Adapt platform for use across Wayfair’s portfolio of brands
Drive change by closely collaborating with internal stakeholders on the Data Science, Engineering, Pricing & Category Management teams
M.S with strong academic record, ideally in Mathematics, Economics, Physics or another quantitative discipline
1-2 years of experience in a data scientist role OR Ph.D in a relevant field (e.g. physics, mathematics, economics)
Strong quantitative skills and desire to always be learning
Experience with data analysis software such as: R, SAS, STATA, SPSS etc
Experience with Python or other relevant programming experience such as: Java, C++ etc
Experience with or willingness to learn SQL
Positive, people-oriented, and energetic attitude
Analytical and creative approach to problem solving
Entrepreneurial spirit, and a strong sense of urgency
NOT REQUIRED: Previous experience in e-Commerce or Marketing

Marketing Data Scientist Resume Examples & Samples

PhD in Statistics, Economics or Math
A strong grasp of statistical techniques, with the ability to apply them in a business environment
Proficiency with statistical programming software, such as SAS, R, or Matlab
Exceptional written & verbal communication skills, including the ability to communicate sophisticated statistical models and other complex quantitative information at levels suitable for a broader business audience
PhD in Statistics
Ability to extract and process large data sets
Work experience in the financial sector or other business environment
Experience with machine learning / data mining methodology and software (SAS Enterprise Miner, SPSS Modeler, Salford Systems, etc.)

Marketing Data Scientist Test Design Resume Examples & Samples

Partner closely with marketing segment, product and channel managers to help develop analytically focused marketing campaign strategies and formalize short & long-term testing objectives
Use sophisticated analytics, including factorial and time series analysis, to develop experimental test designs consistent with learning agenda, statistical requirements, financial and operational constraints
Translate business goals into analytical requirements, leverage multiple data sources and apply advanced querying and data aggregation techniques to quantify each initiative in terms of targeted audience and corresponding KPIs
Document selection criteria, targeting methodology, target audience profiles, and financial assumptions; and communicate them to modeling, list, channel & analysis teams
4-year degree, or equivalent, in a business or math curriculum, preferably finance, economics or statistics
A strong knowledge of descriptive analytic techniques with experience working with SAS, SQL, Business Objects, Excel, and large data sets
Knowledge of visualization techniques for data analysis and presentation
Excellent written & verbal communication skills that allow clear and concise presentation of conclusions and recommendations to a variety of business audiences
Able to manage multiple concurrent projects in a fast-paced environment
MBA or Masters Degree with a quantitative focus
Familiarity with design of experiment methods and time series analysis
SAS Base and/or Advanced Certification

Marketing Data Scientist Manager Resume Examples & Samples

Directly shape components of analytical deliverables and how to accomplish
Deliver tactical and strategic marketing / sales insights through analytics, reporting and state of the art visualization techniques
Provide subject matter expertise for data driven marketing and sales opportunities
Support execution, implementation of programs, processes and initiatives
Partner with a variety of internal and external clients to solve quantitative problems related to optimizing business processes and performance
Coordinate partner demands with broader team capacity
The candidate should have 5+ years of analytical and reporting experience
Partnership experience with team of quantitative analysts or data scientists
Preferred candidate would have a Master’s degree (Math, Statistics, Engineering, or Sciences) and working experience in financial industry
Proficient in standard data mining and analytical methods, SAS experience preferred
Strong analytics, interpretive and problem solving skills
Proficient in time series analysis with demonstrable experience in applying comprehensive factor analysis
Consulting orientation ability to influence both internal & external business partners

Marketing Data Scientist Manager Resume Examples & Samples

Deliver tactical and strategic forecasting and operational planning insights through analytics, reporting and state of the art visualization techniques
Provide subject matter expertise for data driven forecasting and planning opportunities
Lead execution, implementation of programs, processes and initiatives
Build cohesive, winning team through strong communication and involvement of all members
Coordinate partner demands with team capacity through effective management
The candidate should have 5+ years of analytical and / or modeling experience
Leadership role in leading a team of quantitative analysts or data scientists

Marketing Data Scientist Manager Resume Examples & Samples

Responsibilities specific to LOB, department, team or subset of product or significant process
Manages multiple resources, responsible for important results within a function or unit, with cross-functional, direct or indirect people management authority
Influences decisions that impact the organization’s P & L
SAS Expert with high level of proficiency in all of Base, Stat, Macro and Access

Digital Marketing Data Scientist Resume Examples & Samples

Demonstrate significant knowledge and experience in Advanced Analytics concepts and techniques especially in machine learning techniques and deployment
Engage in customer visits and discussions and develop proof of concepts for customers in Dell Experience Studio
Determine machine learning methodologies; apply such methodologies (e.g. collaborative filtering, matrix factorization, SVMs, Bayesian methods, etc.) on retail data clickstream, mobile location data etc
Experience in managing feature extraction and identifying right machine learning technique to meet business needs
Design and develop reports and dashboards to present data
Assist sales teams in opportunity pursuit by providing subject matter expertise in Analytics
Own and execute, build of Advanced Analytics solutions for identified industry problem areas
Proactively recommend and execute strategies to grow the relevant services in existing account and target customers/industries
Play an advisory role to customers and prospects and provide thought leadership & execution direction
Mentoring and training less experienced services delivery employees as needed

Senior Marketing Data Scientist Resume Examples & Samples

Collaborate with business teams to identify critical business problems and areas of opportunity and translate business questions into quantitative analyses
Work with senior leaders to understand key business problems, define KPIs to track performance and offer recommendations to optimize business performance
Create highly sophisticated analytic frameworks and functional models to forecast the business and provide recommendations for solving key business problems, while growing/optimizing revenues and profits
Key areas of focus will include: business line strategy, consumer audience acquisition and engagement, marketing channel ROI, page yield and inventory optimization, product line pricing and analyses, sales and sales channel analytics and decision support, customer ROI and value analyses, and analysis, etc
Lead and drive end to end data initiatives including working with data engineers to automate tracking, measurements and models
Drive A/B, multivariate tests and design of experiments to facilitate testing of new product and marketing initiatives, with focus on improving acquisition, engagement, retention, and conversion
Select, apply, and tune a diverse set of tools to coherently solve challenging business goals
Create automated learning systems that gracefully scale to increasing complexity and expectation
Develop predictive, explanatory models and machine learning algorithms
Generate descriptive visualizations and presentations to communicate insights
Be partner to business, marketing and product team in helping define and scope larger business intelligence and technology initiatives to support business goals
MS or PhD in statistics, mathematics, computer science, quantitative analysis, economics or related field is required
5+ years of relevant experience in data science, data analytics, or applied statistics,
3+ years experience with machine learning, data mining, statistical modeling tools and underlying algorithms
3+ years’ experience in R, Perl, Python, Spark, or other languages and frameworks appropriate for large scale analysis of numerical, textual, image, and video data
Working experience with relational databases and SQL
Experience with experiment design and A/B and multivariate tests
Experience and proven track record developing online data products
Strong creative thinking and problem-solving skills
Excellent oral and written communication and presentation skills
Experience managing, directing or interfacing with technical resources with broad, multi-disciplinary expertise
Experience applying advanced analytic disciplines to financial, consumer audience/user experience, and product-level modeling, forecasting, pricing, etc
Proficiency with SQL, Excel (pivot tables, lookups, data linking), and PowerPoint (advanced graphing and presentation)
Strong SQL skills and experience with one or more BI/analytics tools like Omniture, Microstrategy or Tableau
Ability to organize, direct and develop personnel, and to plan and coordinate timely accomplishments of responsibilities
Extensive business partnering and influencing skills
Superior presentation and communication skills; mature presence coupled with emotional intelligence
Results driven and ability to coordinate and prioritize multiple tasks in a fast-paced environment

Marketing Data Scientist Resume Examples & Samples

Research and develop statistical learning models for data analysis of
Degree in computer sciences, statistics, applied mathematics or related field
Minimum 3+ years’ experience in data analysis and statistical mining fields
Team oriented – ability to motivate and work well with diverse, cross-functional teams
Influencing skills – ability to motivate individuals and demonstrate organizational influence
Willingness and ability to travel
Excellent oral and written communications skills. Capable and comfortable with telephone and web-ex presenting
Demonstrated and proven skills of working with very large data volumes
Demonstrated and proven MS Office skill. It is essential to master Excel, Access and VBA at a high level of proficiency
Database management, database design and definition, designing user interfaces and SQL analytics are essential aspects of the assignment
MBA or Master’s degree in Marketing, Business Administration or related field
3 + years’ experience in marketing, product marketing or related field
Knowledge of Life Sciences customer markets eg. Protein research, Biopharmaceutical manufacturing etc
Experience in supporting a commercial organization
Willingness and ability to take on additional responsibilities and undertake challenging tasks and/or global projects
Demonstrated ability to energize, develop, and build rapport at all levels within an organization
A high degree of self-motivation
Experience of a CRM system, preferably SalesForce.com
Experience with Oracle ERP, Omniture
Working with external data sets and market information

Marketing Data Scientist Resume Examples & Samples

Transform large, complex datasets into pragmatic, actionable insights
Find business opportunities based on data and drive change by acting as a global thought leader to shape and steer strategic decisions
Optimizing global analytics strategy for Digital CRM program
Build capabilities in organisation to become fact based marketers
Establish network with Unilever peers
Maintain & optimize different Datamarts; analytics, campaign and reporting
Provide the highest quality for all global customer data and design and manage performance indicators, governance and standardization
Extend integrations with data sources to further enrich customer profile by briefing technology and operations team
Business Process management skills
Excellent and deep knowledge of Excel
Excellent data mining skills
Strong communication and project management skills
Fluent English communication skills, verbal & written

Marketing Data Scientist Resume Examples & Samples

Observe trends in sales figures
Use analytics associated with KEMET online properties
Create reports and future trend lines from raw data streams
Create reports and deliver presentations of findings
Analyze market trends in business and technology
X% travel, mostly domestic possibly international
Power BI
Google Analytics
Knowledge of typical data science tools such as SQL, R, Python, Excel VBA, possibly Perl
Bachelors Degree in Computer Science, Economics, or Mathematics
Prior experience in a data science role is desirable

Senior Marketing Data Scientist Resume Examples & Samples

Collaborate closely with marketing managers to identify business problems and areas of opportunities and translate business questions into quantitative analyses
Apply advanced data mining techniques to build models to optimize marketing activities on eCommerce and on customer journey (customer acquisition, up sell and cross sell, and customer experience and retention)
Develop reports, visualization, and key performance indexes to track effectiveness of marketing and guide marketing decisions
Proactively identify gaps and opportunities for sales and marketing teams, and use data to generate leads and to drive revenue
Effectively respond to requests for ad hoc analyses
A strong background in data analysis, predictive statistical modeling, customer profiling and segmentation, experiment design and A/B and multivariate tests. Experience with collaborative filtering
MS or PhD in statistics, mathematics, computer science, quantitative analysis, business analytics, economics or related field is required
3+ years’ experience in R, Perl, Python, Spark, or other languages
Working experience with relational databases and SQL, Excel (pivot tables, vlookups) and PowerPoint
Exceptional project management skills and the ability to manage multiple concurrent projects to execute responsibilities in a timely and accurate manner
Must embrace team spirit and have strong interpersonal skills,
Excellent written and oral communication skills, including an ability to communicate across business areas and with global team
Proficiency in Java, Python, or Scala
Familiarity with big data computing infrastructure such as Hadoop, Spark, etc
Experience in Tableau and Cognos
Experience in demand generation analytics

Marketing Data Scientist Resume Examples & Samples

The design, development and execution of big data and analytics solutions aligned against operational and strategic data problems with a focus on marketing, communications and consumer experience design
The building of internal capabilities in the areas of insights, research and analysis to better serve our businesses, regions and countries
Research, data mining, predictive modeling and business analytics projects
Conduct research using leading edge statistical, data mining and predictive analytics tools
Builds or manages complex level statistical and data mining models
Assist in the assessment of key data sources
Partner with cross-functional partners to understand their business hypotheses; scope data science work appropriately based on this analysis to drive their objectives
Project work that deliver both tactical and strategic marketing insights to drive business results
Translate complex data into easily understood concepts for business utilization
Collect, analyze data for its use to and drive actionable and clear recommendations to the Business
Leverage data science tools and techniques to analyze large data sets to develop and customize models/algorithms used uncover trends, patterns and insights in the data
Assist in the integration of traditional insights for the development of more holistic and complete recommendations
Participate in the development of processes and approaches to improve the effectiveness and visibility of data science and the advancement of marketing analytics
Partner with IT and other ‘analytics’ areas to develop best in class processes and techniques to leverage data science across MetLife
Builds strong working relations and improves workflow and organizational issues
Conceptual modeling: ability to share and articulate modeling
Statistical analysis: ability to understand and work around possible limitations in models
Predictive modeling: ability to utilize predictive analysis for future outcomes to address business problems
Data visualization: creative in displaying information visually and making the patterns they find clear and compelling to business partners
3+ years of experience developing algorithms and predictive models to address and solve business problems
3+ years of experience in business/data setting with experience in data analysis, data stewardship, data modeling
Strong working knowledge of advanced data mining tools
Working knowledge of advance marketing analytic models such as MROI, customer lifetime value, segmentation, campaign measurement and testing, as well as basic web analytics
Working knowledge of marketing analytic tools such as SAS, R, Qlickview/Tableau/Domo, Business Objects
Focuses on Customers, produces results

Marketing Data Scientist Intelligent Customer Interactions Resume Examples & Samples

Collaborate with partners in CRM and digital marketing, warranty and quality, financial and customer services, mobility and app development, and other Ford activities to define problems, identify data, establish predictive and prescriptive models, and deliver optimal solutions across the entire range of interactions between Ford and its existing and potential customer base
Work with global subject matter experts that are transforming the automobile industry
2+ years of experience in one or more of the following statistical / analytic languages: SAS, R, Python, MATLAB
2+ years of experience in one or more of the following: database query and management tools (SQL, Alteryx, Teradata QlikView etc.)
Master’s Degree or PhD
Ability to perform day-to-day ETL tasks such as Data gathering/Data Cleaning/ Wrangling / Programming/ Analysis
Strong knowledge of statistics and/or marketing analytics
Ability to do statistical analyses with minimum guidance including descriptive and inferential techniques
Expertise in a quantitative research field such as: Statistics, Econometrics, Biostatistics, Operations Research, Public Policy Analysis, Behavioral Economics, Experimental Psychology, Computer Science
Ability to take non-technical business problems and formulate methods and hypothesis to create metrics and provide well researched answers
Understanding of business management/financial analysis
Familiarity with customer/marketing analytics techniques such as Customer Segmentation, A/B testing, Market Basket Analysis, Choice Modeling, etc

Marketing Data Scientist Resume Examples & Samples

Lead the analysis and mining of large databases to deliver business insights
Interpret market, prospect, customer, financial and operational data to draw correlations and confirm/recommend and/or disprove various business hypothesis and strategies
Make recommendations regarding market, product, programs and projects for future business opportunities to key internal stakeholders and senior business leaders
Perform data analysis; analyze and track key marketing, sales, customer and financial metrics to foster process improvement and efficiencies
Work closely with senior business leaders to define business requirements and leverage reporting tools to develop and deploy reporting solutions
Progressively combine data science skills and knowledge with industry/business knowledge to derive and deliver innovative solutions to business partners
Perform complex statistical analysis, prepare summary of findings, causes and present recommendations; work requires ability to develop solutions to complex problems, strong independent judgment and creativity
Develop standard and ad hoc reports using a variety of internal systems. Integrate data from multiple sources into unified reports generating meaningful data
Collaborate closely with the Marketing Operations team and the Ceridian Finance Data Analytics & Reporting team
Leverage marketing data warehouse and other company databases (e.g., customer support, financial, operational)
Define the direction and approach for new processes that have a significant impact of business results
Bachelors Degree in quantitative disciplines such as Statistics, Mathematics, Operations Research, Physics and Computer Science. MBA candidates preferred but not required
Strong analysis ability with demonstrated knowledge of software and spreadsheet usage; ability to synthesize large amounts of data and translate into meaningful information; use analysis to drive change
5+ years of SAS programming experience with emphasis on report creation and/or predictive modeling
Demonstrated proficiency in statistical analysis; including decision tree and regression analysis
Expert proficiency in developing original statistical and econometric models to support B2B marketing programs
Must be adept at translating the meaning and significance of the insights
Must be detail oriented with strong analytical skills
Expert level competency with scientific data analysis methods, statistics, data modeling, anomaly and outlier detections
Ability to handle multiple assignments promptly and effectively
Demonstrated ability to work calmly in a fast-paced team environment while effectively managing multiple projects
Strong level of personal organization with excellent oral/written and interpersonal communication skills
Strong knowledge of Marketing innovation and market trends
Deep understanding of consumer behavior analysis, customer segmentation, predictive modeling and a working knowledge of digital and traditional media campaigns

Digital Marketing Data Scientist Resume Examples & Samples

Supporting product marketing business analysts with data, dashboards, analysis and recommendations
Forecasting and setting growth marketing team KPIs goals
Designing and evaluating experiments to improve marketing actions efficiency
Monitoring key product metrics and understanding main causes of changes in numbers
Building and analyzing dashboards and reports to support business decisions
Managing the global GAP account, supporting the teams with consulting about web tags and metrics

Marketing Data Scientist Resume Examples & Samples

Works with business subject matter experts to related to participant behaviors, attitudes and responses to various inputs and conditions
Provides analysis to prove/disprove these experiments using a variety of data and statistical techniques
May make recommendations for further evaluation and determine solid candidates for field testing to determine effectiveness of strategies used to systematically predict participant behaviors and reactions
Builds presentations to summarize and present key messages to senior management sponsors
Acts as liaison between the sales stakeholders and systems development, product development, marketing, and training organizations where necessary
Bachelor’s degree in mathematics, statistics, computer science or related technical discipline or equivalent experience
Minimum 2 years experience using data mining/analytical methods, preferably in marketing and/or financial concentrations
Strong listening, presentation, communication and influencing skills
Experience supporting key management decisions with clear and concise data analysis
Strong working knowledge of SQL and SAS programming (Base/Advanced SAS programming certification preferred)
Hands-on experience with data gathering/management/manipulation; able to systematically connect to Oracle/DB2/Sybase systems to collect and manipulate data
Self-starter able to adapt to changing conditions/requirements
Strong working knowledge of Excel and Access
Ability to work under tight deadlines
Knowledge of benefit administration and/or asset management industry preferred

Marketing Data Scientist Intelligent Customer Interactions Resume Examples & Samples

2+ years of academic or professional experience in one or more of the following statistical / analytic languages: SAS, R, Python, MATLAB
2+ years of academic or professional experience in one or more of the following database query and management tools: SQL, Alteryx, Teradata QlikView or other similar tool
Experience with digital marketing, Adobe toolsets, and social media data analysis

Marketing Data Scientist Resume Examples & Samples

Measure attribution of business outcomes to media activity (across tactics, messages, reach vs frequency) to improve media efficiency
Build predictive and segmentation models using machine learning to understand customer behavior
Conduct regular and ad-hoc analyses, data mining and predictive analytics to provide leadership with actionable insights at tactical and strategic levels related to product experience
Analyze large, unique, new data sets
Be a thought leader in building and improving methods
Have a deep understanding of model inputs, outputs, and mechanics to interpret and qc model results
Consider and control for media consumption, consumer behavior, and external forces that drive business outcomes (seasonality, competitive landscape, trends, etc)
Thoughtfully construct the “right” objective to optimize
Work cross-functionally and collaborate with analytical teams, business partners, and external vendors
Question results and find meaningful insights; not just report numbers
Have strong communication skills to data story-tell through visualization, and ability to explain your work effectively to any audience
Influence and convince stakeholders that the data and analytics are sound, and to take the recommended action
5+ years applied research experience, with project scoping, analytics, and communication of findings
Statistical modeling (hypothesis testing, causal modeling, data mining), optimization algorithms
Experience working with large databases and big data
Knowledge of tools: SQL, R, SAS, Excel, Tableau, PowerPoint
Advanced degree in Science, Engineering, Applied Mathematics or related quantitative field

Marketing & Data Scientist Resume Examples & Samples

PhD or Master degree with a strong focus on quantitative techniques, quantitative marketing / market research, statistics or related areas
Hands-on working experience with complex market research data (e.g., through internships)
Solid knowledge of analytic software tools (e.g. R, SPSS)
Solid knowledge of marketing sciences techniques (e.g. outlier detection, sampling & weighting, regression, cluster analysis, predictive modeling)
Knowledge of analytic programming languages (e.g., R, Python)
Familiarity with the basic ESOMAR principles on data quality and an awareness to data anomalies
Ability to think creatively in addressing research objectives while maintaining the balance between "art & science"
Basic knowledge of project management
Good communication skills both verbally and written in English, German a clear plus
A self-dependent, diligent, well-organized way of working