Вопрос к сообществу. Нормальные требования к Junior Data Scientist? Strong math

Question

Вопрос к сообществу. Нормальные требования к Junior Data Scientist? Strong math

and statistics theory understanding:

- Elementary matrix operations, understanding of differential and gradient

- Descriptive Statistics (mean, median, quantiles, SD, CI95%, skewness, kurtosis etc.)

- Distributions and their characteristics, transformations (central limit theorem, box-cox etc.)

- Parametric Methods (regression, Pearson correlation, t-test)

- Standardization and normalization of variables

- Non-parametric Methods (Mann-Whitney test, chi-square, Spearman correlation)

- Unsupervised learning fundamentals (K-mean clustering, t-SNE)

- Supervised learning fundamentals (KNN, elementary understanding of neural networks)

- Feature engineering and dimension reduction

You need to know also:

- Python data manipulation and analysis libs (pandas, scikit-learn)

- SQL (write complex queries for samples including regexp, aggregation and windows functions)

- Linux (BASH fundamentals, working using SSH, can setup software tools and libs for development)

- Development tools: Git, Atom, Jupyter Notebook or Datalab

- Level of English A2+

You are a treasure if you:

- Have experience in Kaggle competitions.

- Have certificates from Yandex or Google courses in Coursera (DS or Big Data Specializations).

- Know Data Science tools and frameworks: TensorFlow, Keras.

- GCP, AWS minimal experience of work.

- ETL Tools: Spark, Apache Beam.

- DWH: BigQuery, Athena.

- CI/CD: Docker composer.

- Posgraduate Student (have researcher’s diploma).

- Publications in foreign scientific magazines.