Marketing Decision Scientist at Meta

Posted in Other 8 days ago.

Location: San Francisco, California





Job Description:

Instagram's vision is "to be a place where people come together over what they love."We help our users express themselves, stay connected to friends and creators, explore their interests and help creators turn their passion to living. Join us!Instagram Marketing Decision Science (IG MDS) team's mission is to transform Instagram Brand into an iconic symbol of culture, especially for youthful optimists, our users. We inform strategy that creates marketing and product experiences that are as brave as the youth culture we celebrate. We do that by using data and science to: activate brand strategy, lead the understand-test-measure-optimize cycle across audiences, creative, messaging and media. To be successful in this mission, we're looking for passionate, analytical, marketing decision scientists.So are you passionate about Instagram? Do you love the product and want to contribute to its mission? Are you excited about Marketing, both brand and product? Do you thrive at the intersection of data science, consumer actions, sentiments, marketing and product? Do you have an insatiable curiosity to understand what messages resonate with which users? Do you have experience in launching hypothesis-driven experiments, provide data-based insights to help marketers make better decisions? Are you strong in quantitative, analytical thinking and technical skills (SQL, Stats, R/Python etc.)? Are you hungry to create impact by owning and driving analytical projects and business outcomes? If Yes to most of these questions, let's talk!



Marketing Decision Scientist Responsibilities:



  • Translate data insights into actions and recommendations that will drive brand sentiment, user growth and engagement, and marketing effectiveness

  • Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of our marketing efforts on the world and on our business

  • Understand Instagram users' attitudes, emotions, and opinions to promote product awareness and meaningful interactions on the platform

  • Influence marketing and media strategy by developing a deep audience understanding by integrating consumer perception, sentiment and product behavioral data

  • Develop marketing measurement plans, learning agendas, metrics and goals that echo the brand and marketing strategy

  • Socialize the plan with cross-functional partners (marketing, research, media, product) and gain alignment

  • Responsible for data mining, data science, statistical analysis including linear regression analysis, decision analysis, statistical modeling, and advanced data analysis to support operational decision making and drive business intelligence (BI) insight

  • Produce statistical and data analysis visuals (charts, infographics) and presentations to clearly and effectively communicate findings to internal stakeholders

  • Analyze and maintain marketing metrics to identify cause-effect relationships between marketing actions and behavioral and attitudinal outcomes

  • Leverage mathematical principles to identify and explain data results and trends, display results, and build efficient solutions based on data results

  • Design and implement reporting dashboards that track key metrics and performance trends, and provide actionable insights to marketing leadership

  • Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision making.

  • Analysis areas might include (but not limited to): segmentation, A/B, advanced survey analysis, text mining, regressions and measurement sciences (causal inference, observational data analysis, bias mitigation, matching techniques etc.), sentiment, messaging, promotions, usage, and engagement





Minimum Qualifications:



  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

  • 3+ years of experience in data analysis, data science, decision science, or similar quantitative fields, applying experimentation methods to test various hypotheses for customer segmentation, consumer sentiment or perception, and outbound online marketing campaign evaluation

  • Experience finding, cleaning, and manipulating data to build data sets

  • Experience with statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory, etc.)

  • Experience using R or Python or a similar scripting language for statistical modeling

  • 2+ years of experience with SQL and advanced SQL skills

  • Experience communicating with cross-functional stakeholders including brand strategists, marketing researchers, product marketing managers, and engineers





Preferred Qualifications:



  • An MBA or Master's or Doctorate degree in Computer Science, software applications, economics, operational research, mathematics, statistics, engineering, psychology, or another field with strong quantitative roots and demands

  • Experience in Marketing Analytics

  • Management consulting experience or a similar career requiring one to present data-driven insights to business audiences

  • Experience developing data pipelines

  • Experience writing production code for automated models

  • Experience using open-source statistical packages such as Dplyr, Rstudio, NumPy, Pandas

  • Basic experience or basic understanding of machine learning, data mining, natural language processing and GenAI





About Meta:



Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.



Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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