1.1 KiB
1.1 KiB
| 1 | skill | sum |
|---|---|---|
| 2 | Python | 6 |
| 3 | SQL | 5 |
| 4 | Communication and collaboration skills | 5 |
| 5 | Statistical/mathematical software (e.g. R, Stata, Matlab). | 5 |
| 6 | Master’s degree + | 4 |
| 7 | Bachelor's degree + | 3 |
| 8 | Ph.D. | 3 |
| 9 | Experience with large datasets | 2 |
| 10 | Experience in business analysis | 2 |
| 11 | Experience in data analysis | 2 |
| 12 | Experience in product analysis | 2 |
| 13 | Experience in analytics | 2 |
| 14 | Counterfactual causal models | 1 |
| 15 | Advanced competency in working with time series data | 1 |
| 16 | sampling methods | 1 |
| 17 | Synthetic control models | 1 |
| 18 | Matching approaches | 1 |
| 19 | Deep knowledge of traditional ML concepts | 1 |
| 20 | Experience initiating and driving projects | 1 |
| 21 | Stochastic models | 1 |
| 22 | Multivariate analysis | 1 |
| 23 | Experience working in data science in e-commerce | 1 |
| 24 | Recommendation systems | 1 |
| 25 | Information retrieval | 1 |
| 26 | NLP | 1 |
| 27 | Demand modeling | 1 |
| 28 | Financial analysis | 1 |
| 29 | Keras | 1 |
| 30 | Understanding of algorithms | 1 |
| 31 | Research science | 1 |
| 32 | Understanding of data structures | 1 |
| 33 | Ability to succeed in an innovative and fast-paced environment | 2 |
| 34 | Leadership skills | 1 |
| 35 | Numpy | 1 |
| 36 | Scipy | 1 |
| 37 | Statistical analysis | 1 |
| 38 | PyTorch | 1 |
| 39 | Tensorflow | 1 |
| 40 | Previous publication in conferences | 1 |
| 41 | Regression modeling | 1 |
| 42 | Data modeling | 1 |
| 43 | Machine learning | 1 |
| 44 | Understanding of software design principles | 1 |