Marketing Data Scientist Job Description
Marketing data scientist
provides monthly and quarterly reports on KPI’s using various software (Excel, Power BI, SQL, R, Python, etc.).
Marketing Data Scientist Duties & Responsibilities
To write an effective marketing data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included marketing data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Test and verify the performance of solutions with prototypes developed in R, Python, or similar development environments
Work with our R&D team to embed analytical technology into our DMP platform
Serve as Area’s/Subsidiary’s subject matter expert on marketing analytics, advocating for data-driven decision making, and demonstrating an “Analytics Throughout” marketing mentality through the usage of analytical models to drive effectiveness at every stage of marketing (planning, execution, post-mortem)
Rigorous thinking around experimental design and measurement solutions for quasi- or natural experiments (usually region-to-region) in the marketing space, where we have less control over the user experience or user-level tracking
Partner closely with Product Development or Marketing to design statistically sound A/B and multivariate tests, including rigorous hypotheses, sampling, and metrics
Support internal research into new methodologies for experimentation, especially in the advertising space, including application of the latest academic research
Analyze experiment results with statistical rigor
Translate analytic insights into concrete, actionable recommendations for business or product improvement, and communicate these findings to all levels of the company
Drive efforts to enable product/marketing managers and other business leaders to interpret results independently, through education, improved tools, and data visualization
Create HPSW digital marketing best practice documentation dashboards and reports
Marketing Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Marketing Data Scientist
List any licenses or certifications required by the position: SAS, SQL
Education for Marketing Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the marketing data scientist job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Science, Marketing, Math, Business, Physics
Skills for Marketing Data Scientist
Desired skills for marketing data scientist include:
Statistics
Marketing analytics
R
Data structures and metrics
Maritime industry
Microsoft Office
Satellite Communications
Excel
Experience with business intelligence packages
Python
Desired experience for marketing data scientist includes:
PhD or MS degree in Statistics, Mathematics, Operations Research, Psychology, Sociology, Econometrics or related field
5+ years of relevant experience with a proven track record of leveraging data analytics to drive significant business impact
Solid statistical knowledge and intuition - ideally utilized in experimentation (or related analytics)
Proficiency with basic data query and analysis tools such as SQL and Excel
Experience with R, SAS, or other statistical analysis packages
Experience with consumer-facing internet products & services, including familiarity with product development lifecycle
Marketing Data Scientist Examples
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Marketing Data Scientist Job Description
Job Description Example
Our company is looking for a marketing data scientist. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for marketing data scientist
- Conduct studies, tests and use advanced data mining and modeling techniques to build solutions that optimize the quality and performance of the company’s data
- Significantly contribute to the development of data-related products and service
- Conduct studies, tests and use advanced statistical techniques to build solutions that optimize the quality and performance of the company’s data
- Marketing workflow/operational excellence
- Optimization strategy
- Managing the RM retainer and relationships with agencies and the MSC in pursuit of efficiencies
- Provide thought leadership to drive the organization’s marketing data and customer insight strategy (incl
- Conceptualize and deliver in depth, thoughtful analysis on our various individualized marketing ML algorithms
- Partner with cross functional business and technical teams to identify new data sources and metrics that can improve algo performance
- Serve as key representative in partnership work with our ad platform partners
Qualifications for marketing data scientist
- Understanding of enterprise level web analytics tools and underlying data (e.g., Adobe Omniture, Google Analytics Premium, Web Trends)
- Experience with machine learning / data mining methodology and software (SAS Enterprise Miner, SPSS Modeler, Salford Systems)
- Experience in standard and advanced analytical methods including linear models, non-linear methods, time series, conditional likelihood methods, and adaptive modeling techniques
- Experience in building customized code in SAS including, but not limited to Macro programming, SAS/Graph, ODS a plus
- Experience using SAS and SAS Base Certification (if not present, certification will be required w/in 90 days after hire)
- Experience analyzing digital marketing performance with tools like Google Analytics, Adobe Data Workbench, Abode Site Catalyst
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Marketing Data Scientist Job Description
Job Description Example
Our company is growing rapidly and is hiring for a marketing data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for marketing data scientist
- Perform complex statistical analysis, prepare summary of findings, causes and present recommendations
- Develop standard and ad hoc reports using a variety of internal systems
- Apply sophisticated data science techniques to address a variety of marketing and product goals, and problems
- Use predictive analytics and machine learning to solve complex problems and drive business decisions
- Employ the appropriate algorithms to discover patterns
- Design experiments, test hypotheses, and build actionable models
- Work with team members to trouble-shoot system or data challenges
- Partner with our technical teams to deliver a scalable long term attribution solution
- Work with marketing groups to define success criteria for marketing campaigns across marketing channels
- Track and analyze attribution research to determine the accuracy and success of attribution strategies
Qualifications for marketing data scientist
- Experience with Unix and programming languages preferred
- Must have developed and deployed machine learning solutions in the domain of marketing using large datasets including clickstream data
- Substantial experience working in a Unix/Linux server environment and competency in shell scripting (Python, Bash)
- Superior problem solving and decision-making capabilities
- Proven ability to manage&develop resources within area of expertise
- First relevant work experience (e.g., through internships)
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Marketing Data Scientist Job Description
Job Description Example
Our company is searching for experienced candidates for the position of marketing data scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for marketing data scientist
- Act as the subject matter expert on marketing attribution with the ability to articulate results and the value proposition of marketing decisions
- Identify gaps or opportunities in data and metrics
- Lead the building and operationalization of a marketing mix model platform to measure and optimize the success of our marketing and brand investments
- Co-ordinate with Business, Technology and Analytic stakeholders in shaping and defining scope
- Develop business requirements, capabilities and timelines
- Drive quality assurance and deliver a timely and complete market mix model
- Manage and maintain a high level of modelling and analytical integrity
- Constantly analyse, review, diagnose and quality-check modelled results, in order to ensure the continued-value creation and business relevance of the marketing mix model
- Develop and track key KPIs communicate marketing and brand performance results
- Collaborate with the business to define needs and challenges, translate them into functional specifications, and develop solutions to address them
Qualifications for marketing data scientist
- Solid knowledge of marketing sciences techniques
- Ability to fluidly communicate in an English business environment
- Strong SQL background (all join types, aggregate and window functions, CTEs, table management [DDL], etc)
- Experience with XML/JSON/APIs
- Familiarity with data visualization
- Bachelor’s degree in analytic field
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Marketing Data Scientist Job Description
Job Description Example
Our innovative and growing company is hiring for a marketing data scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for marketing data scientist
- Develop solutions relying on machine learning methods such as clustering, regression, classification, time series and deep learning
- Support the development of industrial tools and their deployment in the business units
- Work cross-functionally with Marketing stakeholders, Product Managers, Engineers, and other Data Scientists to develop and execute A/B tests to improve our products and go-to-market motions
- Recommend A/B tests and experiments, and manage Analytics testing queue based on broader company goals and strategy
- Sit at the cross-roads between business stakeholders, Data Scientists, and key leaders
- Establish process to ensure rigorous hypothesis testing processes
- Ensure operational and optimal execution in a production of all data science routines and processes
- Manage competing priorities in a dynamic and fast-paced business environment
- Form partnerships with other Data Scientists and Analysts to evangelize the value of data science in helping the company to achieve its goals
- Communicate broadly on the success and failure of tests, helping the business to learn optimal business practices via in-market testing
Qualifications for marketing data scientist
- 5+ years experience in marketing analytics of analytics field
- 5+ years relevant professional work experience, with at least 3 years of relevant work experience in quantitative modeling
- Knowledgeable in market-mix modeling, ROI modeling, and modeling value and business cases
- Experience using statistical techniques such as PCA, Factor analysis, ANCOVA, ARIMAX, Logistic regression, CHAID
- Knowledge in Spark and/or Hadoop a plus
- Expertise in standard analysis and presentation software (Excel, PowerPoint)
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Marketing Data Scientist Job Description
Job Description Example
Our growing company is hiring for a marketing data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for marketing data scientist
- Collaborate with other functions
- Support the Marketing and Product team in uncovering areas that require improvements and measuring impact of their work
- Design, develop and evaluate advanced predictive and machine learning models with a focus on media buying
- Analyze and extract relevant information about user acquisition funnel and in-game player behavior, from both structured and unstructured data, to better understand and enhance our media buying strategy and execution
- Collaborate with colleagues in Marketing and Development to infuse predictive analytics into our marketing, driving increased relevance and business performance
- Mine data (both structured and unstructured) to detect patterns, opportunities and insights that drive our user acquisition strategy and execution
- Build and own all attribution and marketing mix models used to measure performance between offline and direct marketing channels
- Conduct advanced analysis on various marketing efforts to gauge performance, impact and effectiveness against the desired results
- Work with Business Intelligence team to specify features for dashboards and other reporting
- Help maintain and enhance existing models and databases
Qualifications for marketing data scientist
- Comfortable leading and mentoring junior analysts and data scientists to scale and extend own work
- At the very minimum, Master degree in a quantitative/mathematical discipline
- Telecommunication industry experience is preferred
- At least 5 years developing quantitative models and data analysis, with depth in a practice area within Operations Research and Applied Statistics/Mathematics domains
- Possess strong business foundation to apply data science methodologies to business problems
- Knowledge and hands-on experience in applied mathematical/statistical algorithms, optimization methods and statistical modeling