Data Scientists ML Engineer

6 to 8 years of experience

Programming Languages

• Python Core language for statistical analysis machine learning and data wrangling
• SQL Hive Pig For querying structured and semistructured data
• Scala/Java Advantageous for working with big data platforms like Apache Spark or Hadoop
• Handling missing inconsistent or noisy data
• Data cleaning transformation and feature engineering

Experience with tools like Splunk and Power BI to create dashboards and visual insights

Applied Statistics

Knowledge of statistical tests distributions regression models and estimators

Ability to interpret and apply statistical methods to realworld data problems

Mathematics

Strong foundation in Multivariable Calculus and Linear Algebra

Essential for understanding and optimizing machine learning algorithms

• Familiarity with
• kNearest Neighbors kNN
• Naive Bayes
• Understanding of model selection training validation and performance metrics