Junior Data Scientist :: Denver, CO :: OPT :: 5DAYS ONSITE (LOCAL)

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Hitesh Masurkar

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May 11, 2026, 11:22:44 AMMay 11
to SAP Consultant Group International
Junior Data Scientist

Job Overview

We are seeking a motivated Junior Data Scientist with strong analytical and problem-solving skills to support the development of machine learning and AI-driven solutions. The ideal candidate will have hands-on experience with data analysis, statistical modeling, and foundational GenAI/LLM concepts, along with the ability to work collaboratively in a fast-paced environment.


Mandatory Skills (Core Requirements)
  • 2–4 years of experience in Data Science, Machine Learning, or Analytics roles.
  • Strong understanding of machine learning techniques including regression, classification, clustering, time series analysis, and recommendation systems.
  • Proficiency in Python and related libraries such as pandas, NumPy, scikit-learn, and basic PySpark.
  • Strong SQL skills for querying, transformation, and analysis of large datasets.
  • Basic hands-on experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) concepts.
  • Knowledge of statistics, hypothesis testing, A/B testing, and model evaluation metrics such as ROC, AUC, precision, and recall.
  • Understanding of end-to-end ML lifecycle including model training, deployment, monitoring, and performance tracking.
  • Experience working with structured and unstructured datasets in cloud or enterprise environments.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Lean Six Sigma Black Belt Certification (preferred/required based on project needs).

Secondary Skills (Nice-to-Have / Enhancing Skills)
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Familiarity with cloud and MLOps platforms including AWS, Databricks, MLflow, or feature stores.
  • Exposure to customer analytics use cases such as churn prediction, retention analysis, or lead scoring.
  • Basic understanding of Responsible AI concepts including SHAP, LIME, explainability, and bias mitigation.
  • Ability to work closely with cross-functional teams including Data Engineers, AI Engineers, and business stakeholders.
  • Strong willingness to learn new AI/ML technologies and contribute to innovative solutions.
  • Experience with version control, CI/CD pipelines, or collaborative development workflows is a plus.

saaban dak

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May 11, 2026, 1:37:21 PMMay 11
to sap-consultant-gr...@googlegroups.com
Hi Hitesh,

Can i ask? Is this in Kula Lumpur?

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