Data
Science
Technical
Skills
1 / 4
01
Programming
&
Scripting
Python
R
SQL
Julia
Scala
Bash
/
Shell
Java
C
++
JavaScript
(
ES
6+)
02
Data
Manipulation
&
Analysis
pandas
NumPy
Polars
dplyr
tidyverse
data
.
table
Apache
Arrow
DuckDB
Data
cleaning
Data
wrangling
Missing
-
value
imputation
Outlier
detection
Advanced
Excel
03
Statistics
&
Mathematics
Descriptive
statistics
Inferential
statistics
Probability
theory
Hypothesis
testing
A
/
B
testing
Bayesian
inference
Regression
analysis
ANOVA
Time
-
series
analysis
Experimental
design
Sampling
methods
Multivariate
statistics
Linear
algebra
Calculus
&
optimization
SAS
·
SPSS
·
Stata
04
Machine
Learning
Supervised
learning
Unsupervised
learning
scikit
-
learn
XGBoost
LightGBM
CatBoost
Ensemble
methods
Feature
engineering
Feature
selection
Dimensionality
reduction
PCA
·
t
-
SNE
·
UMAP
Hyperparameter
tuning
Optuna
Cross
-
validation
Model
evaluation
metrics
Class
-
imbalance
handling
SHAP
&
interpretability
05
Deep
Learning
PyTorch
TensorFlow
Keras
JAX
CNNs
RNNs
&
LSTMs
Transformers
Attention
mechanisms
GANs
Diffusion
models
Autoencoders
Transfer
learning
Regularization
&
dropout
GPU
training
/
CUDA
Mixed
-
precision
training
06
Natural
Language
Processing
Hugging
Face
Transformers
spaCy
NLTK
Gensim
Tokenization
Word
2
Vec
·
GloVe
Sentence
embeddings
Named
entity
recognition
Topic
modeling
LDA
·
BERTopic
Sentiment
analysis
Text
classification
Summarization
Machine
translation
RAG
pipelines
Prompt
engineering
2 / 4
07
Computer
Vision
OpenCV
torchvision
Detectron
2
YOLO
Image
classification
Object
detection
Semantic
segmentation
Instance
segmentation
Image
augmentation
Facial
recognition
OCR
Tesseract
·
PaddleOCR
Video
analysis
Pose
estimation
08
Generative
AI
&
LLMs
OpenAI
API
Anthropic
Claude
API
Google
Gemini
API
LangChain
LlamaIndex
Embedding
models
Vector
databases
Pinecone
·
Weaviate
·
FAISS
Chroma
Fine
-
tuning
(
LoRA
,
QLoRA
)
RLHF
&
alignment
Function
calling
&
agents
Prompt
evaluation
Guardrails
&
safety
filtering
09
Data
Engineering
&
Big
Data
Apache
Spark
PySpark
Hadoop
Apache
Kafka
Apache
Airflow
dbt
Dagster
Prefect
ETL
/
ELT
pipelines
Batch
processing
Stream
processing
Dimensional
data
modeling
Data
warehousing
Delta
Lake
·
Iceberg
Great
Expectations
10
Databases
&
Query
Languages
PostgreSQL
MySQL
SQL
Server
Snowflake
Google
BigQuery
Amazon
Redshift
Databricks
SQL
MongoDB
Cassandra
Redis
Elasticsearch
Window
functions
Query
optimization
11
Data
Visualization
&
BI
Matplotlib
Seaborn
Plotly
Altair
Bokeh
ggplot
2
Tableau
Power
BI
Looker
D
3.
js
Streamlit
Dash
R
Shiny
Grafana
Dashboard
design
Data
storytelling
12
MLOps
&
Model
Deployment
MLflow
Weights
&
Biases
Kubeflow
Docker
Kubernetes
FastAPI
Flask
CI
/
CD
pipelines
GitHub
Actions
Model
registry
Model
monitoring
Drift
detection
Feature
stores
(
Feast
)
Canary
&
shadow
deployment
Unit
testing
(
pytest
)
3 / 4
13
Cloud
&
Infrastructure
AWS
SageMaker
AWS
S
3 ·
EC
2 ·
Lambda
AWS
Glue
Google
Vertex
AI
Google
Cloud
Storage
Azure
Machine
Learning
Azure
Synapse
Databricks
Terraform
Serverless
computing
Container
orchestration
Cloud
cost
optimization
14
Collaboration
&
Workflow
Jupyter
/
JupyterLab
VS
Code
PyCharm
RStudio
Conda
·
venv
·
uv
Linux
command
line
Git
&
GitHub
Agile
/
Scrum
Technical
writing
Code
review
DVC
Stakeholder
communication
4 / 4
