Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

About Us

We’re a data-driven company that specializes in building custom dashboards—primarily for marketing teams, but also for clients seeking operational insights. Our mission is to simplify complex data and empower our clients to make confident, strategic decisions. As a small, collaborative team, we value initiative, adaptability, and strategic thinking.

About the Role

The Client Manager - Marketing Analytics is a strategic partner to lead and grow larger clients that require strategic thinking and connection not only with the client but also with the full MTP agency team. In this role, you will also collaborate closely with the Senior Client Success Director to create efficiencies and translate technical data into compelling narratives, strategic insights, and actionable business recommendations. 

This position is perfect for someone with a strong media and marketing background who understands how to analyze and communicate data effectively. 

Essential Duties and Responsibilities (Other duties may be assigned)

• Build, strengthen, and maintain client relationships rooted in trust, transparency, and strategic partnership.
• Develop a clear understanding of each client's business, KPIs, and marketing strategy to guide meaningful conversations and measurement frameworks.
• Partner with a Data Analyst to ensure client deliverables are insightful, accurate, and aligned with business goals.
• Translate complex, technical analysis into digestible insights and stories that resonate with client stakeholders.
• Track and manage multiple ongoing client projects while ensuring all deadlines, budgets, and scopes are met. This includes being able to accurately track time and tasks using our Advantage agency software
• Contribute to project planning, data structure discussions, and storytelling strategy.
• Understand the basics of dashboard building, data pipelines, and visualization processes—enough to ask the right questions and guide client conversations.
• Proactively identify areas for client growth and optimization through data trends, market analysis, and performance insights.
• Stay current on marketing trends, measurement strategies, and client industry landscapes.
  
  

Skills & Experience That Will Help You Succeed

• Prior marketing and media experience is required. You must understand the purpose of various digital and traditional channels (Digital media including paid search, social, adio/video and email, billboards etc.) and how they fit together.
• Prior reporting/analytics experience is a strong plus. Ideal candidates may have worked as a marketing analyst, media strategist, or media insights specialist.
• Strong understanding of marketing KPIs, ROI, and measurement tactics.
• Experience presenting data-backed findings and making recommendations based on insights.
• Excellent verbal and written communication skills—you should be comfortable discussing technical findings with non-technical audiences.
• Highly organized and able to manage multiple projects, deadlines, and client personalities.
• Ability to exercise sound judgment and make decisions independently with minimal handholding.
• Familiarity with Google Workspace and Advantage software is helpful but not required.
• Must be collaborative, coachable, and adaptable. 
• Must be comfortable working with people from diverse backgrounds.

Qualifications: To perform this job successfully, an individual must be able to perform each essential  duty satisfactorily. The requirements listed below are representative of the knowledge,  skill, and/or ability required. Reasonable accommodations may be made to enable  individuals with disabilities to perform the essential functions. 

• Prior experience with media platforms is a must. Examples include: Google Ads, Facebook, LinkedIn, The Trade Desk, Campaign Manager 360, Google Marketing Platform Products, Amazon Ads and Google Analytics. 
• Experience with visualization tools and analytics platforms are a plus. Examples include Tableau, Amazon Redshift, and Looker Studio.
• Experience with CRM tools such as Salesforce and Hubspot are a plus.
• One to three years experience in Digital Media Strategy, Analytics or related agency  experience. 
• Ability to solve practical problems and deal with a variety of concrete variables in  situations where only limited standardization exists. Ability to interpret a variety of  instructions furnished in written, oral, diagram, or schedule form. 
• Work Environment The work environment characteristics described here are  representative of those an employee encounters while performing the essential  functions of this job. Reasonable accommodations may be made to enable individuals  with disabilities to perform the essential functions.

Education

• Bachelor's degree from four-year college or university, degree or concentration in  advertising, marketing or communications preferred; or one to two years related  experience and/or training; or equivalent combination of education and experience.

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

About Us

We’re a data-driven company that specializes in building custom dashboards—primarily for marketing teams, but also for clients seeking operational insights. Our mission is to simplify complex data and empower our clients to make confident, strategic decisions. As a small, collaborative team, we value initiative, adaptability, and strategic thinking.

About the Role

The Client Manager - Marketing Analytics is a strategic partner to lead and grow larger clients that require strategic thinking and connection not only with the client but also with the full MTP agency team. In this role, you will also collaborate closely with the Senior Client Success Director to create efficiencies and translate technical data into compelling narratives, strategic insights, and actionable business recommendations. 

This position is perfect for someone with a strong media and marketing background who understands how to analyze and communicate data effectively. 

Essential Duties and Responsibilities (Other duties may be assigned)

• Build, strengthen, and maintain client relationships rooted in trust, transparency, and strategic partnership.
• Develop a clear understanding of each client's business, KPIs, and marketing strategy to guide meaningful conversations and measurement frameworks.
• Partner with a Data Analyst to ensure client deliverables are insightful, accurate, and aligned with business goals.
• Translate complex, technical analysis into digestible insights and stories that resonate with client stakeholders.
• Track and manage multiple ongoing client projects while ensuring all deadlines, budgets, and scopes are met. This includes being able to accurately track time and tasks using our Advantage agency software
• Contribute to project planning, data structure discussions, and storytelling strategy.
• Understand the basics of dashboard building, data pipelines, and visualization processes—enough to ask the right questions and guide client conversations.
• Proactively identify areas for client growth and optimization through data trends, market analysis, and performance insights.
• Stay current on marketing trends, measurement strategies, and client industry landscapes.
  
  

Skills & Experience That Will Help You Succeed

• Prior marketing and media experience is required. You must understand the purpose of various digital and traditional channels (Digital media including paid search, social, adio/video and email, billboards etc.) and how they fit together.
• Prior reporting/analytics experience is a strong plus. Ideal candidates may have worked as a marketing analyst, media strategist, or media insights specialist.
• Strong understanding of marketing KPIs, ROI, and measurement tactics.
• Experience presenting data-backed findings and making recommendations based on insights.
• Excellent verbal and written communication skills—you should be comfortable discussing technical findings with non-technical audiences.
• Highly organized and able to manage multiple projects, deadlines, and client personalities.
• Ability to exercise sound judgment and make decisions independently with minimal handholding.
• Familiarity with Google Workspace and Advantage software is helpful but not required.
• Must be collaborative, coachable, and adaptable. 
• Must be comfortable working with people from diverse backgrounds.

Qualifications: To perform this job successfully, an individual must be able to perform each essential  duty satisfactorily. The requirements listed below are representative of the knowledge,  skill, and/or ability required. Reasonable accommodations may be made to enable  individuals with disabilities to perform the essential functions. 

• Prior experience with media platforms is a must. Examples include: Google Ads, Facebook, LinkedIn, The Trade Desk, Campaign Manager 360, Google Marketing Platform Products, Amazon Ads and Google Analytics. 
• Experience with visualization tools and analytics platforms are a plus. Examples include Tableau, Amazon Redshift, and Looker Studio.
• Experience with CRM tools such as Salesforce and Hubspot are a plus.
• One to three years experience in Digital Media Strategy, Analytics or related agency  experience. 
• Ability to solve practical problems and deal with a variety of concrete variables in  situations where only limited standardization exists. Ability to interpret a variety of  instructions furnished in written, oral, diagram, or schedule form. 
• Work Environment The work environment characteristics described here are  representative of those an employee encounters while performing the essential  functions of this job. Reasonable accommodations may be made to enable individuals  with disabilities to perform the essential functions.

Education

• Bachelor's degree from four-year college or university, degree or concentration in  advertising, marketing or communications preferred; or one to two years related  experience and/or training; or equivalent combination of education and experience.

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

About Us

We’re a data-driven company that specializes in building custom dashboards—primarily for marketing teams, but also for clients seeking operational insights. Our mission is to simplify complex data and empower our clients to make confident, strategic decisions. As a small, collaborative team, we value initiative, adaptability, and strategic thinking.

About the Role

The Client Manager - Marketing Analytics is a strategic partner to lead and grow larger clients that require strategic thinking and connection not only with the client but also with the full MTP agency team. In this role, you will also collaborate closely with the Senior Client Success Director to create efficiencies and translate technical data into compelling narratives, strategic insights, and actionable business recommendations. 

This position is perfect for someone with a strong media and marketing background who understands how to analyze and communicate data effectively. 

Essential Duties and Responsibilities (Other duties may be assigned)

• Build, strengthen, and maintain client relationships rooted in trust, transparency, and strategic partnership.
• Develop a clear understanding of each client's business, KPIs, and marketing strategy to guide meaningful conversations and measurement frameworks.
• Partner with a Data Analyst to ensure client deliverables are insightful, accurate, and aligned with business goals.
• Translate complex, technical analysis into digestible insights and stories that resonate with client stakeholders.
• Track and manage multiple ongoing client projects while ensuring all deadlines, budgets, and scopes are met. This includes being able to accurately track time and tasks using our Advantage agency software
• Contribute to project planning, data structure discussions, and storytelling strategy.
• Understand the basics of dashboard building, data pipelines, and visualization processes—enough to ask the right questions and guide client conversations.
• Proactively identify areas for client growth and optimization through data trends, market analysis, and performance insights.
• Stay current on marketing trends, measurement strategies, and client industry landscapes.
  
  

Skills & Experience That Will Help You Succeed

• Prior marketing and media experience is required. You must understand the purpose of various digital and traditional channels (Digital media including paid search, social, adio/video and email, billboards etc.) and how they fit together.
• Prior reporting/analytics experience is a strong plus. Ideal candidates may have worked as a marketing analyst, media strategist, or media insights specialist.
• Strong understanding of marketing KPIs, ROI, and measurement tactics.
• Experience presenting data-backed findings and making recommendations based on insights.
• Excellent verbal and written communication skills—you should be comfortable discussing technical findings with non-technical audiences.
• Highly organized and able to manage multiple projects, deadlines, and client personalities.
• Ability to exercise sound judgment and make decisions independently with minimal handholding.
• Familiarity with Google Workspace and Advantage software is helpful but not required.
• Must be collaborative, coachable, and adaptable. 
• Must be comfortable working with people from diverse backgrounds.

Qualifications: To perform this job successfully, an individual must be able to perform each essential  duty satisfactorily. The requirements listed below are representative of the knowledge,  skill, and/or ability required. Reasonable accommodations may be made to enable  individuals with disabilities to perform the essential functions. 

• Prior experience with media platforms is a must. Examples include: Google Ads, Facebook, LinkedIn, The Trade Desk, Campaign Manager 360, Google Marketing Platform Products, Amazon Ads and Google Analytics. 
• Experience with visualization tools and analytics platforms are a plus. Examples include Tableau, Amazon Redshift, and Looker Studio.
• Experience with CRM tools such as Salesforce and Hubspot are a plus.
• One to three years experience in Digital Media Strategy, Analytics or related agency  experience. 
• Ability to solve practical problems and deal with a variety of concrete variables in  situations where only limited standardization exists. Ability to interpret a variety of  instructions furnished in written, oral, diagram, or schedule form. 
• Work Environment The work environment characteristics described here are  representative of those an employee encounters while performing the essential  functions of this job. Reasonable accommodations may be made to enable individuals  with disabilities to perform the essential functions.

Education

• Bachelor's degree from four-year college or university, degree or concentration in  advertising, marketing or communications preferred; or one to two years related  experience and/or training; or equivalent combination of education and experience.

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave