Analytics Specialist

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

We're looking for an experienced Advanced Analytics Specialist to join our dynamic Data Science & ML Analytics team. If you excel at solving complex problems with Machine Learning, Generative AI (GenAI), and LLM-driven solutions, this is the perfect opportunity for you.

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.