Data Scientist-II-MMM

PeopleStrong

India

On-site

INR 1,500,000 - 1,900,000

Full time

2 days ago
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Job summary

PeopleStrong in India seeks a data science professional with strong MMM experience to lead analytics projects for global clients. You will guide cross-functional teams, deliver marketing mix models, and present complex insights to executives, influencing strategic decisions.

The role demands deep statistical skills, proficiency in Python and SQL, and the ability to build client-ready dashboards using Tableau or Power BI.

Qualifications

  • 2+ years in advanced analytics or data science with hands-on MMM experience.
  • Experience leading cross-functional teams and managing direct reports.
  • Proven MMM delivery for global clients across industries.
  • Strong statistical/econometric skills: regression, time series, Bayesian.
  • Advanced Python with SQL for data manipulation.
  • Excellent problem-solving with large, multi-source datasets.
  • Strong communication to present insights to executives and influence decisions.
  • Familiar with Tableau/Power BI and client-ready dashboards.

Skills

Marketing Mix Modeling
Data Science
Python
SQL
Statistical Modeling
Cross-functional Leadership
Client-facing Communication
Tableau / Power BI

Tools

Tableau
Power BI
Python
SQL

Job description

Required Skills and Experience
  • 2+ years of experience in advanced analytics or data science, with significant hands-on expertise in Marketing Mix Modeling.
  • Demonstrated experience leading cross-functional teams and managing direct reports in a data science/analytics function.
  • Proven track record of delivering MMM projects for global clients across industries (e.g., CPG, Retail, BFSI, Tech).
  • Strong statistical/econometric modeling skills using regression, time series, Bayesian, and hierarchical models.
  • Advanced proficiency in Python with solid experience in SQL for data manipulation and extraction.
  • Exceptional problem-solving abilities and experience working with large, complex datasets from multiple sources.
  • Excellent communication and client-facing skills, with the ability to present complex insights to executive stakeholders and influence decision-making.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and experience building client-ready dashboards is a plus.
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