Senior Analyst, Data Scientist

Assembly Global

Data Scientist at Assembly building and automating media intelligence models. Collaborating with consultancy leadership to define analytical approaches to business challenges.

Posted 4/13/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

media mix modelsattribution modelslift analysisaudience modelingdata miningstatistical techniquesmachine learningdeep learningregression techniquesresearch design

Soft Skills

analytical thinkingproblem-solvingcommunicationcollaborationadaptability