7 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Job Type

Contractual

Job Description

Hiring: Advanced Analytics Specialist | Data Science & Machine Learning Analytics


experienced Advanced Analytics Specialist


What You’ll Do

  • Build and deploy

    advanced analytical models

    using ML algorithms, Agentic AI, and GenAI.
  • Analyze large, complex datasets to uncover trends, insights, and business opportunities.
  • Work closely with cross-functional teams to design and deliver

    data-driven solutions

    within the

    Retail/CPG domain

    .
  • Create dashboards and compelling visualizations using

    Power BI / Tableau

    .
  • Continuously optimize models and methodologies for accuracy and performance.
  • Stay updated with the latest in ML, GenAI, LLMs, and analytics innovations.
  • Mentor junior analysts and contribute to internal knowledge-sharing.


Basic Qualifications

  • Bachelor’s/Master’s in Data Science, Analytics, Statistics, Mathematics, or similar.
  • 7+ years

    of experience in advanced analytics, machine learning, Generative AI, or Agentic AI.
  • Strong hands-on expertise in

    predictive analytics, text analytics, forecasting

    , and quantitative modeling.
  • Proficiency in

    Python, SQL (BigQuery preferred)

    , and data visualization tools (Tableau/Power BI).
  • Experience working with

    Retail/CPG/Tech

    datasets.
  • Excellent communication, storytelling, and problem-solving skills.


Desired Skills

  • Deep experience with

    Generative AI, Large Language Models (GPT, Gemini, Llama)

    .
  • Expertise in

    Prompt Engineering, Fine-tuning, Embeddings, Vectorization, RAG

    .
  • Hyperparameter tuning (temperature, top-p, etc.).
  • Hands-on experience with

    Vertex AI

    , GCP tools, BigQuery, JupyterLab (must-have).
  • Strong ML fundamentals:
  • Supervised: Regression, Classification, GBMs, SVM, Random Forests
  • Unsupervised: K-means, PCA, clustering
  • Reinforcement: Q-learning, DQN
  • Strong knowledge of NLP: NER, sentiment analysis, topic modeling, text classification.
  • Familiarity with

    PyTorch, Hugging Face Transformers, spaCy, NLTK, scikit-learn

    , conversational AI, semantic search & cosine similarity.

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