Senior Analyst, Data Scientist

Media Assembly; India; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Annual Leave 20 days

Sick Leave 12 days

Maternity/Paternity Leave

L&D budget

Group personal accident & life cover

Family insurance coverage

Monthly cross-team lunch

Rewards & recognition program

Job summary

Assembly, a global brand performance agency, is seeking a data science professional with a heavy statistical background and a passion for problem solving. You will work on attribution models, lift analyses, and audience modeling to deliver actionable insights across entertainment, technology, lifestyle, sports, and gaming clients.

The role emphasizes both strategic and practical analytics work, with opportunities to collaborate across the global team, contribute to scalable data processes, and

Qualifications

• Proficiency in statistical analysis and data modeling would be beneficial.
• Experience with data-rich analyses and problem solving is valued.

Responsibilities

• Interpret business needs with client leads or leadership to define analytical approaches.
• Determine data requirements for media measurement, analytics, lift analysis, and audience modeling.
• Build and deploy media mix models, attribution models, and audience models using R, Python or similar tools.

Job description

About Us

At Assembly, we help brands find the change to fuel business growth. We are an award-winning global brand performance agency, home to 1,600 talented people across 25 offices globally. We create unique data, technology and media solutions that enable faster and smarter problem solving and an inspired, collaborative workplace culture.

At Assembly we embody three core values: Show Up - actively contribute to a space of personal and collective growth; Make Change - embrace obstacles as opportunities, taking intentional steps to drive positive change; and Win Well - approach success with integrity, responsibility, and a commitment to collaboration, understanding that the journey is as important as the destination. Together, we create an environment that fosters continuous learning, adaptability, and a shared passion for making a meaningful impact.

We stay ahead of what’s next, providing fresh insights to spark new ideas. We’re a trusted partner to our clients, working behind the scenes to bring imagination, depth, and clarity to their biggest challenges—in entertainment, technology, lifestyle, sports, and gaming. Together, we create with confidence.

Overview

Data Science is the core of our advanced attribution solutions at Assembly. They build, maintain, and automate models that deliver deep media intelligence to make timely and effective investment decisions. The ideal candidate is someone with a heavy statistical background, intense curiosity, passion for problem solving, creativity, ability to visualize solutions, logic-matching skills, and positive‑can‑do attitude.

Nitty-gritty …

• This position requires both strategic and tactical skill sets with an eye for numbers, intellectual curiosity, proficiency at problem solving, and a critical understanding of retail dynamics with basic/growing knowledge of offline & online media. The candidate must have a proven track record in data-rich analyses and be a team player. A “roll up the sleeves” approach is mandatory, and a “get it done” attitude is a must. Specific responsibilities include working 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. Including working within agency DS Github orgs, managing documentation and deployment of best practices in day‑to‑day work, joining regular global discipline scrums, and leading ad hoc day to day contacts with SMEs or other DS staff within the global team.

Responsibilities

• 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.

Required Skills

• Knowledge of statistical software packages (e.g., R, Python).
• Knowledge of visualization and application development using programs such as Shiny or Streamlit.
• Knowledge of SQL and familiarity working within cloud systems such as GCP.
• Experience using ad servers and media reporting systems (DoubleClick, AdWords, Facebook, etc.) is a plus.
• Experience using web analytics tools is a plus (Google Analytics, Omniture, WebTrends, etc.).

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 every 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.

Equal Opportunities

Assembly is an advocate for equal opportunity in the workplace. We are committed to ensuring equal opportunities regardless of race, colour, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

Social and Environmental Responsibility

At Assembly, we have a responsibility to bring impact into our every day. This means we must always look for ways in which to be conscious citizens in our roles to support society and environmental sustainability. We encourage employees to be a conscious citizen by actively participating in our organisation's sustainability efforts, help us promote environmentally friendly practices within the workplace, collaborate with community organisations and stakeholders to support initiatives aligned with our company's values, participate in volunteer activities that benefit the community. Employees are also encouraged to make suggestions and evaluate our business practices to identify areas for improvement in social and environmental performance. Employees at Assembly demonstrate commitment to sustainability and inclusivity in their actions and behaviors.