Silicon Stack

13 hours ago

Pune, Maharashtra, India Silicon Stack® Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Silicon Stack
is a leading Australian software development and consulting company headquartered in Melbourne, serving a global clientele across Australia, New Zealand, Europe, North America, UK, and Asia.

Renowned for our "can-do attitude" and proven track record, we deliver high-quality solutions with expertise in cutting-edge technologies.

We Excel In Functionality, Aesthetics, And Responsibilities

  • Design and implement causal inference and incrementality models, such as randomized holdouts, synthetic control, uplift regression, and time-series forecasting.
  • Develop profitability and ROI models at the SKU, product, and customer levels applicable to retail media, CRM campaigns, and financial forecasting.
  • Automate and maintain robust data pipelines using SQL, Python, and R to unify data across systems like Amazon Ads, Salesforce, Adobe Analytics, SAP, and CRM databases.
  • Conduct ad-hoc statistical analyses and simulations, including A/B testing, media mix modeling, and customer journey analytics.
  • Partner with Finance, Marketing, and Operations teams to translate analytical insights into strategic business recommendations.
  • Mentor junior analysts, ensuring the use of rigorous statistical methodology and scalable model Skills & Experience :
  • 5 to 7+ years of experience in Data Science or Advanced Analytics.
  • Proficient in Python and R, including libraries such as statsmodels, scikit-learn, Prophet, and causal inference packages.
  • Advanced SQL skills for data wrangling, query optimization, and ETL workflows.
  • Hands-on experience with incrementality testing, campaign attribution, and ROI modeling (e.g., for retail media or CRM).
  • Familiarity with marketing and enterprise tools: Adobe Analytics, Salesforce (SFDC), SFMC, SAP, Google Ads, Meta Ads.
  • Strong business acumen in profitability analysis, marketing ROI, and P&L impact.
  • Exceptional communication and stakeholder engagement Qualifications :
  • Experience working with large-scale marketing datasets and customer lifecycle analytics.
  • Exposure to cloud platforms and data engineering tools (e.g., AWS, GCP, Airflow, dbt).
  • Understanding of privacy-first analytics and data governance in marketing tech stacks.

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