Junior Data Scientist
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Angajator: | Smartx Net Apps |
Domeniu: |
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Tip job: | full-time |
Nivel job: | 0 - 1 an experienta |
Orase: |
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Actualizat la: | 21.10.2019 |
Remote work: | On-site |
We are a fast growing and innovative internet development company, with over 15 years of experience in building and maintaining web-based projects. Our main focus is the development and enhancement of one of the largest websites in the world, having an audience in the top 300 sites world-wide.
We value our staff by investing in their development, health and good employment practices. Our workplace has a creative, well-organized, dynamic and fun atmosphere, which allows people to develop their potential and enjoy sharing experience with other professionals.
Technical Skills:
• Data Science languages: R/Python/Spark
• Database querying: SQL, NoSQL (MongoDB ideally)
• Nice to know programming languages: Java/Php/Python web
Data Science techniques:
• AI: ML/NN: Supervised/Unsupervised Learning, Feature engineering, Model Ensembling, Naive Bayes, Model Assessment, Bias Variance Decomposition, Dimensionality reduction
• Statistical modelling: logistic/linerar regression, t-test, anova, linear algebra,
• Nice to know data Visualization: plotting with RShiny or others
• Nice to know open source AI platforms: H2O.ai, TensorFlow, etc.
Data oriented skills:
• Data manipulation: data mining, data exploring, data preparation, data aggregation
• Nice to know data Engineering: ability to create ETL processes, run CRON jobs or define a database structure;
• Data Analysis: ability to conclude and recommend based on reports and visualizations
Others:
• Analytical thinking
• Advanced analytics
• AB testing knowledge
• Nice to know Google Analytics or equivalent
• Understanding business concepts and ability to transpose them into technical implementation.
Soft skills:
• Critical ability for a constructive result
• Good communicator
• Team-player
• Fun and passionate
• Curious and enthusiast
Educational Background:
• Computer Science/Statistics&Mathematics
• Online courses
Research:
- Reading research articles
- Online training courses in AI and statistics
Data manipulation:
- Data sources connection
- Data structure understanding
- Learn and apply SQL basic
- Deliver simple data aggregations
- Solve simple data inconsistencies (tackling NULLs, missing values)
- Simple APIs calls
Statistics/ Probabilistic reasoning:
- Applying t test
- Applying bootstrapping methods
- Demonstrate basic knowledge of concepts of Basic Probability Concept, Bayesian Inference, Naive Bayes Models
- Continuous learning in statistical concepts: Bayesian Networks, Markov Model, Dimensionality reduction, Feature selection and visualisation
AI:
- Understand and apply simple Machine Learning technique
- Understand and train simple Neural Networks
Others:
- Docker manipulations
- Team Meetings
- Knowledge transfer
We have:
• Benefits and professional development according to each individual’s needs;
• Cozy workplace located within walking distance of many delicious restaurants and cafés;
• In the days this doesn’t work for you, our office kitchen is always fully stocked with both sweet and savoury snacks and drinks!
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