Description:

The Data Scientist will be responsible for designing and implementing predictive models, analyzing complex datasets, and utilizing statistics, mathematics, and data science programming languages like SQL, R, and Python.
Responsibilities include performing statistical analyses, running custom SQL queries, identifying patterns and trends to enhance product efficiency, and maintaining data infrastructure and tools.
The role involves working with stakeholders to improve business processes, conducting exploratory data analysis, and utilizing NLP and NLG techniques.
Data Scientists are expected to have knowledge of ML Ops, LLM Ops, FM Ops, and data engineering techniques like ETL and ELT.
Key responsibilities also include building data management systems, creating visualizations, reports, dashboards, and implementing machine learning algorithms.

Requirements:

Bachelor's degree in data science, data analytics, or related field.
Master's degree or Ph.D. in a quantitative field like statistics, computer science, mathematics, or engineering.
Proficiency in programming languages such as Python, R, C#, Java, or Kotlin.
Knowledge of data science toolkits like R, NumPy, and MatLab.
Experience with big data analytics technologies like Spark/Databricks and Hadoop.
Familiarity with data visualization tools such as PowerBI and Tableau.
Expertise in data mining, machine learning, statistical models, and business intelligence.
Understanding of cloud-based infrastructure and NoSQL databases.