Salesforce
Sr. Media Data Scientist
Salesforce, Los Angeles, California, United States, 90079
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job Category
Marketing & CommunicationsJob Details
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Media Data Scientist
SeniorJob Summary
As a Senior Data Scientist within the Media Lab team at Salesforce, you will play a crucial role in driving the optimization of media strategy and budget allocation. Your primary focus will be on forecasting media performance and providing data-driven insights that guide our media investment decisions. You will combine your expertise in media platforms with technical competence to build sophisticated data science and machine learning forecasting models.Focus
Focused on forecasting, media mix modeling, and optimizing media strategy and budget allocation. Identify trends, forecast media performance, and provide data-driven insights that drive media investment decisions.Key Responsibilities
Forecasting and Optimization:
Develop advanced predictive models and algorithms to accurately forecast media performance, including audience targeting, ad placement, and pricing dynamics. Leverage statistical modeling, machine learning, and data mining techniques to optimize media strategy and budget allocation. Build and maintain forecasting models that account for various factors like seasonality, market trends, and external influences.Data-Driven Insights:
Provide meaningful and actionable insights based on analysis of large datasets from paid media platforms, marketing campaigns, and other relevant sources. Translate complex data into intuitive visuals and reports using tools like Tableau to enable informed decision making by partners. Analyze impact and effectiveness of advertising channels and tactics. Identify patterns, key drivers, and opportunities for optimization. Provide recommendations on media budget allocation, campaign duration, and optimal ad spend for channels based on media mix modeling and forecast outputs.Collaboration:
Collaborate with cross-functional teams such as Media, MASH (Minimum Acceptable Search Health), and Media Lab Ops to understand business goals and align media strategies accordingly. Work closely with media buying and planning teams to ensure seamless implementation of data-driven recommendations. Collaborate with internal team members, including marketing managers and media planners, to understand business objectives and translate them into actionable data analysis and insights.Experimentation and Measurement:
Design and conduct experiments to measure the impact of media initiatives on key performance metrics. Analyze and interpret results to continuously refine and improve media strategies and tactics.Thought Leadership:
Stay up to date with emerging trends, methodologies, and technologies in data science and paid media marketing. Act as a subject matter expert, providing guidance and thought leadership on data-driven media decision making.Qualifications
Experience in data science, computer science, business analytics, or a related field.5+ years of professional experience in data science, preferably within the marketing or advertising domain.Strong expertise in building predictive models, statistical analyses, and data visualization using tools such as SQL, R, Python, and Tableau.Proficient in working with large datasets and experience with data engineering techniques and technologies.Deep understanding of paid media platforms, including ad networks, and social media advertising platforms.Exceptional analytical and problem-solving skills, with the ability to translate complex data into actionable insights.Excellent communication and collaboration skills, with the ability to effectively present complex findings to both technical and non-technical collaborators.Strong project management skills, with the ability to handle multiple priorities and deliver high-quality results within tight deadlines.We are seeking a highly skilled and experienced Senior Data Scientist to join Media Lab at Salesforce. Your expertise in data science, combined with a deep understanding of media platforms, will be critical in helping us optimize our media strategy and drive data-driven decision making. If you are a highly analytical professional with a proven track record in building predictive models, forecasting media performance, and communicating complex insights, we would love to have you on board. Join us at Salesforce and contribute to our mission of empowering businesses with innovative solutions.Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting Statement
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at
www.equality.com
and explore our company benefits at
www.salesforcebenefits.com .Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $188,200 to $282,200. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at
https://www.salesforcebenefits.com .
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Marketing & CommunicationsJob Details
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Media Data Scientist
SeniorJob Summary
As a Senior Data Scientist within the Media Lab team at Salesforce, you will play a crucial role in driving the optimization of media strategy and budget allocation. Your primary focus will be on forecasting media performance and providing data-driven insights that guide our media investment decisions. You will combine your expertise in media platforms with technical competence to build sophisticated data science and machine learning forecasting models.Focus
Focused on forecasting, media mix modeling, and optimizing media strategy and budget allocation. Identify trends, forecast media performance, and provide data-driven insights that drive media investment decisions.Key Responsibilities
Forecasting and Optimization:
Develop advanced predictive models and algorithms to accurately forecast media performance, including audience targeting, ad placement, and pricing dynamics. Leverage statistical modeling, machine learning, and data mining techniques to optimize media strategy and budget allocation. Build and maintain forecasting models that account for various factors like seasonality, market trends, and external influences.Data-Driven Insights:
Provide meaningful and actionable insights based on analysis of large datasets from paid media platforms, marketing campaigns, and other relevant sources. Translate complex data into intuitive visuals and reports using tools like Tableau to enable informed decision making by partners. Analyze impact and effectiveness of advertising channels and tactics. Identify patterns, key drivers, and opportunities for optimization. Provide recommendations on media budget allocation, campaign duration, and optimal ad spend for channels based on media mix modeling and forecast outputs.Collaboration:
Collaborate with cross-functional teams such as Media, MASH (Minimum Acceptable Search Health), and Media Lab Ops to understand business goals and align media strategies accordingly. Work closely with media buying and planning teams to ensure seamless implementation of data-driven recommendations. Collaborate with internal team members, including marketing managers and media planners, to understand business objectives and translate them into actionable data analysis and insights.Experimentation and Measurement:
Design and conduct experiments to measure the impact of media initiatives on key performance metrics. Analyze and interpret results to continuously refine and improve media strategies and tactics.Thought Leadership:
Stay up to date with emerging trends, methodologies, and technologies in data science and paid media marketing. Act as a subject matter expert, providing guidance and thought leadership on data-driven media decision making.Qualifications
Experience in data science, computer science, business analytics, or a related field.5+ years of professional experience in data science, preferably within the marketing or advertising domain.Strong expertise in building predictive models, statistical analyses, and data visualization using tools such as SQL, R, Python, and Tableau.Proficient in working with large datasets and experience with data engineering techniques and technologies.Deep understanding of paid media platforms, including ad networks, and social media advertising platforms.Exceptional analytical and problem-solving skills, with the ability to translate complex data into actionable insights.Excellent communication and collaboration skills, with the ability to effectively present complex findings to both technical and non-technical collaborators.Strong project management skills, with the ability to handle multiple priorities and deliver high-quality results within tight deadlines.We are seeking a highly skilled and experienced Senior Data Scientist to join Media Lab at Salesforce. Your expertise in data science, combined with a deep understanding of media platforms, will be critical in helping us optimize our media strategy and drive data-driven decision making. If you are a highly analytical professional with a proven track record in building predictive models, forecasting media performance, and communicating complex insights, we would love to have you on board. Join us at Salesforce and contribute to our mission of empowering businesses with innovative solutions.Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting Statement
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at
www.equality.com
and explore our company benefits at
www.salesforcebenefits.com .Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $188,200 to $282,200. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at
https://www.salesforcebenefits.com .
#J-18808-Ljbffr