Data Scientist

Requirements:
Strong knowledge of statistical methods, particularly in the areas of predictive modeling/scoring.
3+ years of experience in sales or marketing functions for consumer products, retail, tech, telecom, or financial industries.
4+ years Statistical Programming expertise: R required; Python and Spark preferred.
3+ years Big data mining expertise: Hive and Impala required; SQL preferred.
Experience with NLP and LLMs (Hugging Face, OpenAI, Gemini, Langchain, etc. ).
Experience working in Cloud platforms (GCP, AWS, Azure, or Databricks) is required. Google Cloud Platform preferred.
Machine learning expertise: Recommender systems, deep learning, GLM Regression (linear, logit, multinomial), kMeans/Hierarchical Clustering, Principle Component Analysis, and Decision Tree required.
Data scale expertise: Regular use of data with high volume (1 TB+) and high dimensionality (500+ variables per schema) is required; clear understanding of the Hadoop framework with hands-on experience both querying and applying statistics on massive data sets.

Experience
5-9 yrs