Marketing Data Scientist Job Description [Updated for 2025]

In today’s data-driven business landscape, the role of marketing data scientists is increasingly significant.

As the world becomes more data-centric, the demand for skilled professionals who can interpret, analyze and strategize around data, especially marketing data, continues to grow.

But let’s delve deeper: What’s really expected from a marketing data scientist?

Whether you are:

• A job seeker trying to understand the core of this role,
• A hiring manager shaping the ideal candidate profile,
• Or simply fascinated by the world of data science in marketing,

You’ve come to the right place.

Today, we present a customizable marketing data scientist job description template, crafted for effortless posting on job boards or career sites.

Let’s dive right in.

Marketing Data Scientist Duties and Responsibilities

Marketing Data Scientists utilize their analytical skills, knowledge of statistics, and programming abilities to understand the marketplace, customer behavior, and marketing strategies.

They are responsible for extracting, analyzing, and interpreting complex digital data to assist a company in its decision-making process.

Their duties and responsibilities include:

• Collecting and analyzing large sets of data to determine patterns, trends, and insights
• Applying statistical analysis and data modeling to provide current and high-value future market predictions
• Identifying valuable data sources and automate collection processes
• Developing customer segmentation models to improve targeted marketing strategies
• Using data visualization tools to present information in a clear and concise manner
• Collaborating with cross-functional teams including sales, marketing, and product development to understand business needs and devise possible solutions
• Maintaining databases and systems, ensuring accuracy and functionality
• Creating automated anomaly detection systems and constant performance tracking
• Testing and improving the effectiveness of email campaigns, paid media, and social media efforts using data-driven insights
• Communicating findings to stakeholders and providing recommendations for action

 

Marketing Data Scientist Job Description Template

Job Brief

We are looking for a Marketing Data Scientist with a passion for data-driven insights and an understanding of marketing strategies.

Your role will involve analyzing large amounts of raw information to find patterns, building data-driven models to optimize marketing techniques, and assess the effectiveness of marketing campaigns.

Our ideal candidate has a strong proficiency in data analysis, statistical algorithms, machine learning techniques, and scripting languages.

Ultimately, the role of a Marketing Data Scientist is to interpret and analyze data from multiple sources and convert it into information which can offer ways to improve a business, thus affecting business decisions.

 

Responsibilities

• Identifying valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

 

Qualifications

• Proven experience as a Data Scientist or Data Analyst
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Experience in marketing analytics and direct marketing response modeling
• Statistical analysis skills and experience with packages such as SAS, SPSS, MatLab, etc.
• Strong math skills (e.g. statistics, algebra)
• Excellent communication and presentation skills
• MSc/PhD in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Marketing Data Scientist
• Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
• Reporting Structure: Reports to the Director of Marketing or Chief Marketing Officer.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $80,000 minimum to $150,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Marketing Data Scientist Do?

Marketing Data Scientists play a crucial role in understanding the consumer market and customer behavior.

They work in various industries and can work as individual consultants or be part of a larger marketing team.

They use a variety of analytical, statistical, and programming skills to collect, analyze, and interpret large datasets.

This helps them develop insights into customer preferences, buying habits, and market trends.

Their primary responsibilities include designing and implementing data-driven systems for marketing purposes, creating custom data models and algorithms to apply to data sets, and using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.

They also need to work closely with different teams to identify opportunities for leveraging company data to drive business solutions.

Marketing Data Scientists often also create visual representations of data to present to management, making complicated data accessible and understandable to a wider audience.

They are responsible for maintaining data integrity and accuracy, and they may also be tasked with identifying new data collection and processing strategies.

 

Marketing Data Scientist Qualifications and Skills

A Marketing Data Scientist should possess a unique blend of skills that combine technical expertise, data analysis and understanding of marketing principles:

• Strong proficiency in data analysis and interpretation, with ability to translate data into actionable marketing insights.
• Technical skills including proficiency in Python, R, SQL or other data manipulation languages, and experience with data visualization tools like Tableau, PowerBI or similar.
• Sound knowledge of machine learning and statistical modeling techniques to predict consumer behavior and market trends.
• Good understanding of marketing principles and strategies to effectively integrate data insights into marketing campaigns.
• Exceptional problem-solving skills to identify, analyze and solve complex business problems.
• Excellent communication skills to present complex data insights in an understandable way to non-technical stakeholders.
• Ability to work collaboratively with interdisciplinary teams and stakeholders, including marketing teams, IT professionals and business leaders.
• Strong attention to detail and organizational skills to handle multiple projects simultaneously and meet deadlines.

 

Marketing Data Scientist Experience Requirements

Marketing Data Scientists typically need at least 2 to 3 years of relevant experience in a similar role.

This experience can be obtained through full-time roles, internships, or relevant academic projects.

They should have a proven track record of effectively analyzing and interpreting complex data sets and translating these insights into marketing strategies.

Candidates with 3 to 5 years of experience often have a strong grasp of predictive modeling techniques and are proficient in utilizing data science tools such as Python, R, SQL, and machine learning algorithms.

They might have also had exposure to working in cross-functional teams and presenting data-driven insights to stakeholders.

Those with more than 5 years of experience are typically considered experts in data analysis, interpretation, and strategy implementation.

They may also have leadership experience and are likely to have guided business decisions through data-based insights.

They might be ready for roles that require strategic planning and team management.

Further, experience with specific industries can also be a beneficial factor, as it helps the Marketing Data Scientist to understand the nuances of marketing strategies within that sector.

Similarly, experience with software relevant to the company’s operations can also be advantageous.

 

Marketing Data Scientist Education and Training Requirements

Marketing Data Scientists typically have a bachelor’s degree in data science, statistics, mathematics, computer science or another related field.

They also need a strong background in data analysis and familiarity with programming languages such as Python, R, or SQL.

Advanced statistical skills, data visualization, and knowledge in machine learning are also required.

A solid understanding of business and marketing principles is beneficial, as the role often requires the application of data analysis to solve business and marketing problems.

Some positions, especially those with specialized duties or those in high-level roles, may require Marketing Data Scientists with a master’s degree or PhD in data science or a related discipline.

Many Marketing Data Scientists also pursue professional certifications in data science or related fields to showcase their expertise and dedication to the field.

These might include certifications in big data, machine learning, data mining, or other areas of data science.

In addition to formal education and certifications, a Marketing Data Scientist should be curious, creative, and possess strong problem-solving and communication skills.

 

Marketing Data Scientist Salary Expectations

A Marketing Data Scientist can expect to earn an average salary of approximately $112,000 (USD) per year.

However, these earnings can significantly vary depending on factors such as the individual’s professional experience, level of education, specific skill set, and geographical location.

Moreover, the size and industry of the employing company can also impact this salary range.

 

Marketing Data Scientist Job Description FAQs

What skills does a Marketing Data Scientist need?

A Marketing Data Scientist should have strong analytical skills to understand and interpret complex data sets.

They also need to be proficient in data mining and predictive modeling techniques.

Technical skills such as knowledge of programming languages like Python or R, and SQL database coding are essential.

Communication and presentation skills are also important as they often need to explain their findings to non-technical team members.

 

Do Marketing Data Scientists need a degree?

Most Marketing Data Scientists hold a degree in fields such as Computer Science, Statistics, Mathematics or a related discipline.

Many also have a Master’s degree or Ph.D. in these fields.

However, relevant experience and demonstrated skills in data analysis may also be considered valuable.

 

What should you look for in a Marketing Data Scientist resume?

On a Marketing Data Scientist’s resume, you should look for a strong background in statistics and data analysis, proficiency in data science programming languages, and experience with data visualization tools.

Experience in marketing and familiarity with marketing metrics is also important.

Certifications in data science can also be a plus.

 

What qualities make a good Marketing Data Scientist?

A good Marketing Data Scientist has strong problem-solving skills and the ability to think critically.

They should be detail-oriented, have a knack for recognizing patterns, and possess a deep understanding of statistical and machine learning techniques.

Strong communication skills are crucial to effectively share insights with the rest of the team.

 

How does a Marketing Data Scientist contribute to a marketing team?

A Marketing Data Scientist plays a crucial role in a marketing team by using data to guide strategic decisions.

They analyze customer behavior, market trends, and competitors to identify opportunities and threats.

They also create predictive models that forecast future customer behaviors, sales trends, and marketing campaign outcomes.

Their insights help the marketing team to optimize their strategies and improve overall business performance.

 

Conclusion

And there you have it.

Today, we’ve unveiled the true essence of being a marketing data scientist.

Surprise!

It’s not just about analyzing numbers.

It’s about deciphering the story behind the data and shaping the future of business strategies.

With our definitive marketing data scientist job description template and real-world examples, you’re ready to leap forward.

But why end here?

Delve deeper with our job description generator. It’s your next move towards crafting precise job listings or honing your resume to perfection.

Remember:

Each data point is a piece of the larger puzzle.

Let’s decipher that story. Together.

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