Data Science Engineer – Ad-Tech

South Delhi | Full-Time | On-Site

Urgent Hire | Early-Stage Startup | Work under a Design & Tech Mentor | High Independence + Growth

About Us

We are an early-stage, high-energy startup building a
next-generation programmatic ad platform
for performance marketing, D2C brands, social media advertising, and international markets. Our mission: create
innovative, functionally different experiences
that simplify complexity, deliver measurable results, and redefine how advertisers, marketers, publishers, and designers interact with analytics.

What You'll Do

• Create new, innovative, data-driven systems
  to power performance marketing workflows across DSPs, SSPs, Display Ads, and Social Marketing platforms.
• Design & implement analytics pipelines
  for measuring campaign performance (CTR, CPM, CPA, ROAS, LTV, CAC, churn, brand lift).
• Propose new growth metrics
  for scaling our platform: supply path optimization, attention metrics, predictive bidding, fraud detection, wallet/financial compliance KPIs.
• Build intuitive, advertiser-friendly dashboards
  with
  meaningful communication & storytelling
  in data (working with design engineers).
• Develop predictive & prescriptive models
  for budget allocation, creative testing, audience segmentation, and bid optimization.
• Collaborate across stakeholders
  (design, marketing, product, compliance, finance, publishers, advertisers).
• Create strategies for launch & scale
  of our ad-tech product—benchmarking against DV360, Trade Desk, InMobi, PubMatic, etc.
• Ensure data integrity, privacy compliance (GDPR, CCPA), and reporting transparency.
• Turn complex data into compelling actions & calls-to-action
  for advertisers and marketers.

What We're Looking For

• Hands-on data scientist + engineer hybrid
  : You know how to build, but also how to question, innovate, and differentiate.
• Strong knowledge of
  performance marketing analytics
  (digital ads, social media, programmatic).
• Skills in
  data engineering + machine learning
  (Python, SQL, Spark, TensorFlow/PyTorch, cloud platforms).
• Experience in
  dashboarding & visualization
  (Tableau, PowerBI, Looker, or custom React/D3 dashboards).
• Awareness of
  programmatic ad platforms (DSP/SSP)
  and their metrics.
• Product-first mindset
  : You don't just crunch data; you design experiences and systems people
  love
  using.
• Startup-ready: thrive in ambiguity, move fast, build with independence, ship for impact.
• Creative problem-solver
  : able to make analytics
  intuitive, interactive, and innovative
  .

Nice-to-Have Traits

• Exposure to
  gamified analytics
  and
  interactive storytelling with data
  .
• Understanding of
  financial compliance, wallets, and transactions
  in marketing ecosystems.
• Experience designing or guiding
  data-driven product strategy
  .
• Strong communicator: you can explain a regression model to a marketer and a budget dashboard to a designer.
• Global perspective
  : awareness of how international markets (US, EU, SEA) differ in digital advertising KPIs.

Why Join Us?

• Be at the heart of innovation
  : Help build something radically different in ad-tech.
• Early ownership & independence
  in a fast-scaling environment.
• Design + Tech Mentorship
  : grow your craft under visionary leadership.
• South Delhi on-site team
  : dynamic, energetic, collaborative.
• Your impact is direct
  : the analytics you build will define how advertisers, marketers, and publishers experience our platform.

Screening Question (to check if you read this JD):

What's more important for scaling a programmatic ad platform — CPM optimization or Supply Path Optimization? (Answer with one number: 1 for CPM, 2 for Supply Path Optimization).

Would you like me to also draft the
list of "different analytical metrics"
(beyond CTR/CPA/ROAS) that this role should propose for
launching and scaling
a DSP/SSP platform — almost like a playbook to include in the JD appendix or onboarding notes?