Marketing Data Scientist Resume Samples

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WO
W O'Connell
Wendy
O'Connell
27392 Marvin Lights
Phoenix
AZ
+1 (555) 941 5902
27392 Marvin Lights
Phoenix
AZ
Phone
p +1 (555) 941 5902
Experience Experience
12/2013 present
Phoenix, AZ
Senior Marketing Data Scientist
Phoenix, AZ
Senior Marketing Data Scientist
12/2013 present
Phoenix, AZ
Senior Marketing Data Scientist
12/2013 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
02/2008 07/2013
Detroit, MI
Digital Marketing Data Scientist
Detroit, MI
Digital Marketing Data Scientist
02/2008 07/2013
Detroit, MI
Digital Marketing Data Scientist
02/2008 07/2013
  • 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
11/2000 11/2007
Dallas, TX
Marketing Data Scientist
Dallas, TX
Marketing Data Scientist
11/2000 11/2007
Dallas, TX
Marketing Data Scientist
11/2000 11/2007
  • 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
Education Education
Bachelor’s Degree in Marketing
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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1

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.)
2

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
3

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.)
4

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
5

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
6

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
7

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
8

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
9

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
10

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
11

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
12

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
13

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
14

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
15

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
16

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
17

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
18

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
19

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
20

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
21

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