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 audience, 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 performance? 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.
Responsibilities
- 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
- Translate data insights into actions and recommendations that will drive brand sentiment, user growth and engagement, and marketing effectiveness
- 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
- Execute marketing surveys via in-house tools and vendors to get a robust understanding of consumer sentiment. Study the performance of marketing campaigns using robust and state of the art measurement techniques, statistical or econometric models and ensure accountability of marketing
- 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
- A degree in economics, operations research, mathematics, statistics, engineering, psychology, or another field with quantitative understanding
- 7+ years of experience in consultative roles, supported by data analysis, data science, or similar quantitative fields with 2+ years in a people manager capacity
- Demonstrated communication capabilities with cross-functional stakeholders from both quantitative and non-quantitative functions
- Time management, experience balancing multiple projects and prioritization skills
- Experience in communication, documents and presentation decks that include data visualization such as charts, infographic to communicate quantitative information and translating to business facing recommendations
- Experience finding, cleaning, and manipulating data to build data sets
- 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
- Experience with SQL, Hive, Presto, Hadoop, or other data querying languages
Preferred Qualifications
- An MBA or Master's or Doctorate degree in economics, operational research, mathematics, statistics, engineering, psychology, or another field with strong quantitative roots and demands
- Management consulting experience or a similar career requiring one to present data-driven insights to business stakeholders
- 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, and natural language processing
- Understanding of marketing as a function
