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Senior Data Scientist – Intelligent Media Targeting

Blend360 · Hyderabad

New
Senior 🇬🇧 English
Python pandas NumPy scikit-learn SQL Machine Learning Statistical Modeling Clustering K-Means GMM DBSCAN RFM Marketing Mix Modeling Causal Inference A/B Testing SHAP LIME Spark Databricks AWS Azure GCP

Job description

About the role

Blend360 is seeking a Senior Data Scientist to lead intelligent media targeting initiatives. You will design and deploy advanced customer analytics, segmentation, and marketing mix models that help global clients optimise media spend and drive measurable outcomes.

Key responsibilities

  • Design and implement customer segmentation models using clustering algorithms such as K‑Means, GMM or DBSCAN.
  • Build, validate and deploy Marketing Mix Models (MMM) to measure marketing effectiveness and optimise media budgets.
  • Engineer transaction‑level features (RFM, spend trajectory, recency decay) for targeting and propensity modelling.
  • Perform causal inference, experimentation and A/B testing to quantify incremental impact of campaigns.
  • Apply explainability techniques (SHAP, LIME) to translate model insights into business narratives.
  • Develop reusable Python analytics frameworks and scalable ML pipelines in collaboration with data engineering teams.
  • Partner with business stakeholders to align analytical solutions with marketing objectives and present recommendations to leadership.
  • Mentor junior team members and contribute to best‑practice analytics libraries.

Required profile

  • 5–8 years of experience in data science, customer analytics or marketing science (8–12 years for lead roles).
  • Proven track record delivering production‑grade machine learning solutions.
  • Strong analytical thinking, problem‑solving and communication skills.
  • Experience working directly with business stakeholders and cross‑functional teams.

Required skills

  • Python (pandas, NumPy, scikit‑learn) and production‑grade ML development.
  • Advanced SQL for large‑scale data analysis.
  • Statistical modelling, regression, hypothesis testing and experiment design.
  • Clustering techniques (K‑Means, GMM, DBSCAN) and feature engineering (RFM, spend trajectory).
  • Marketing Mix Modeling, media optimisation and causal inference.
  • Explainable AI tools such as SHAP or LIME.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and distributed processing (Spark, Databricks).

What we offer

  • Competitive salary reflecting your expertise.
  • Rapid career growth with mentorship and innovation “Idea Tanks”.
  • Regular “Growth Chats”, snack zone and recognition programs.
  • Company‑sponsored certifications in AI, data science and cloud technologies.

Questions fréquentes

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Source : ats:smartrecruiters

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Published 1 day ago

Expires 1 month from now

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Blend360

Hyderabad