Required Skills/Experience (Skills that the successful candidate(s) must have)
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
Strong experience in machine learning algorithms, predictive modeling, and data mining.
Proficiency in Python (required) for data science workloads.
Strong SQL (required) knowledge and experience with relational databases.
Proficiency in PySpark(required) for data science workloads.
Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices.
Experience with Azure Databricks, Oracle, and modern data science libraries (e.g., scikit-learn, pandas, NumPy).
Experience with GenAI and large language models.
Ability to interpret complex datasets and produce actionable insights.
Must know how to analyze the root cause of dashboard errors.
Have experience in ML Ops and have strong coding background.
Have experience with Natural Language Processing (NLP).
Knowledge or experience with A/B Testing.
Working knowledge of designing, training, and implementing machine learning models.
Familiarity with cloud-based infrastructure
Excellent communication and problem-solving skills.
7 or more years of experience in data science and machine learning engineering.
Additional Skills (Skills that are a plus, but not required)
