Senior Data Scientist focusing on ML systems for Walmart's Trust and Safety. Collaborating on compliance models and overseeing the full model lifecycle.
About the role
- Data Scientist at Assembly building and automating media intelligence models. Collaborating with consultancy leadership to define analytical approaches to business challenges.
Responsibilities
- Build, maintain, and automate models that deliver deep media intelligence to make timely and effective investment decisions.
- Work with client leads or consultancy leadership to interpret and understand business needs, and to define analytical and data science approaches to solving business challenges.
- Determine data requirements for media measurement, media analytics, lift analysis, audience modeling, or other applications.
- Build Media Mix Models, attribution models, lift analysis, or audience models using R, Python, or similar programming languages.
- Work within agency infrastructure and toolkit to create robust and scalable processes for specific client work and cross client agency products.
Requirements
- 3-5 years' experience building attribution and time series models, with experience in the marketing industry a big plus
- Experience in the analysis of large data sets to develop insights and learnings (data mining)
- Strong experience using statistical, ML, and deep learning techniques in marketing applications: different regression techniques in mix modeling/econometrics projects, some knowledge of choice modeling techniques, different segmentation procedures – cluster, CHAID, CART, LCA, etc.) and In-market testing using ANCOVA, hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations
- Experience with statistical analysis software products and research design
- Experience with development and deployment of front-end applications for optimization and forecasting using tools such as Shiny or Streamlit
- Knowledge of visual techniques for data analysis and presentation
- Knowledge of current issues within the online media industry, such as attribution, data collection, targeting and privacy are a good to have
- Must feel comfortable learning new systems and tools
Benefits
- Annual Leave in number of 20 allotted to all employees beginning of every calendar year.
- Sick Leave in number of 12 is allotted effective DOJ and beginning of ever calendar year.
- Other Leaves-Maternity Leave & Paternity Leaves, Birthday Leave Entitlement
- Dedicated L&D Budget for all Teams to upskill & get certified
- All employees are entitled for Group Personal Accident Cover & Life Cover Insurance.
- Insurance coverage for the entire family (Employee + up to 7 dependents - Self, Spouse, up to 4 children, and Parents)
- Monthly Cross Team Lunch
- Rewards and Recognition program-Employee of the month, Star Performer, Tenure Celebration & many more
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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