Data Scientist- Data Science & Advance Analytics

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 are a growth mind-set, meritocratic, and high-performance business with a progressive outlook in all that we do. As our position in the market evolves, we’re looking for a Trainee, Associate to work on a wide range of initiatives across the full project lifecycle from proposal to report delivery.

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

• You will be part of a dynamic young team serving some of the biggest brands in the region and globally.
• You are a part of upcoming, fast paced, high performance team with an excellent supporting network with development opportunities within Assembly Global.
• Opportunity to work on data science and advance analytics for some of the biggest categories and top advertisers in the region & extend your learning opportunities.
  
  

Responsibilities

• Write and optimize complex SQL queries for data extraction, and reporting.
• Collect, clean and analyze large datasets from multiple data sources to extract valuable business insights.
• Ensure the quality of report (data accuracy, Standard format, Naming Convention, Repository Maintenance)
• Communicate complex data findings and recommendations in a clear and compelling manner to diverse audiences, including Senior stakeholders, fostering data-driven decision-making across the organization.
• Apply logical and analytical thinking to solve business challenges efficiently.
• Proactively identify and solve challenging business problems related to marketing measurement, attribution, and optimization, leveraging your expertise in data science and marketing science.
  
  

In 3 Months

• Understanding the structure and interworking of GDT and AssemblyGlobal agencies.
• Manipulate large data sets and applies various technical and statistical analytical techniques (OLS, Multinomial Logistic Regression, LDA, clustering, segmentation) to draw insights from large datasets.
• Measure, validate, implement, monitor, and improve performance of both internal and external facing models.
• Design and implement models for several Digital Marketing metrices including but not limited to: Transaction Classification, Temporal Analysis, MMM, MTA from structured and unstructured data.
  
  

In 6 Months

• Ensure smooth support to end users for Build, Maintenance, Change Management, and Issue resolution.
• Developing and refining MMM & MTA models to measure the impact of various marketing channels.
• Analyze, interpret, co-relate large datasets to identify trends, patterns and critical insights that solve strategic business problems.
• Ensure highest level of data accuracy, timely delivery with quality outcomes and manage multiple priorities simultaneously.
• Using Statistical and ML techniques to predict customer behaviour and optimize marketing strategies.
  
  

In 12 Months

• Master of analytics processes, tools and deliverables.
• Spearhead the development of a unified marketing measurement framework through triangulation and other innovative approaches, driving a deeper
• Champion best data and analytics practices within the team.
• Implement new and innovative ideas bringing in improved quality and efficiency.
• Introduce new methodologies and tools to enhance data analysis capabilities.
  
  

Required Skills

• Bachelor/Master’s degree in STEM (Science, Technology, Engineering, Mathematics), Data Science, Economics, Statistics.
• You have 5+ years of experience as a Data Scientist specializing AI, marketing science, and experimental design, with a proven track record in the digital marketing landscape, and a clear understanding of prediction models, classifiers, marketing channel mix, attribution, user behavior and website performance.
• Experience with statistical regression and attribution modeling such as MMM, MTA.
• Experience with data processing and visualization tools such as SQL, MYSQL, Python (NymPy, TensorFlow), PySpark, Tableau, Power BI, AWS (Athena, Redshift, S3), GCP (BigQuery, DataProc).
• Extraordinary analytical and quantitative skills and hands-on experience with advanced modeling methods.
• Expert-level proficiency and detailed understanding of statistical/ML predictive techniques such as regression/classification, clustering, dimensionality reduction, forecasting, optimization etc. and at least one of the upcoming technologies like deep learning (DL), natural language processing (NLP), reinforcement learning (RL), and Bayesian methods.
  
  

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 of up to 3x of the Annual CTC each.
• ₹7 Lakhs shared 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.