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.

Skills

Hadoop, Hive, Impala, LLM, NLP, R, SQL, Spark, machine learning