Data Scientist

3 days ago

Pune, Maharashtra, India Silicon Stack® Full time ₹ 12,00,000 - ₹ 36,00,000 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 user-friendliness.

Industry Leadership:

We are the leading development partner in industries such as Automotive, Agriculture, Retail, Food & Beverages, Aviation, and Whitegoods Manufacturing. Our success is grounded in our robust foundation, comprehensive solutions, and profound knowledge of small to enterprise-level solutions.

Global Presence:

With a global presence spanning
six countries
 and
nine offices
 in Melbourne, Brisbane, Sai Gon, Can Tho, Pune, Hyderabad, and Miami, our team of hundreds of dedicated professionals ensures our continued strong and organic growth while demonstrating our core values of passion, fun, and optimism.

Key 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 development.

Required Skills & Experience

  • 5–7+ 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 skills.

Preferred 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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