Fresher - Data Science Engineer

Requirements

• Remote position (work-from-anywhere)
• Immediate joiners must apply
• Data Science Experienced - course/competitions//internships/job (<2 years)
• Competitive compensation
• 1. Code in Python3 - Numpy?
• 2.Code in Python3 - Pandas?
• 3.Code in Python3 - Scikit-learn?
• 4.Implemented full-cycle data science on real-world problem (not just academic or kaggle projects)?
• 5.Implemented SQL queries
• 6.Developed algorithms in Python3
• 7.Confidence to learn PySpark3 within a month? https://spark.apache.org/docs/latest/api/python/getting_started/index.html (we shall guide but won't spoon-feed)
• ===========================================
• We are offering one of the most challenging & exciting work on Applied ML. You shall be working on sophisticated platforms, products and applications
• We are looking for developer with real passion for data science, machine learning and automation. This is a specialist and individual contributor role. Product development experience preferably at a startup or a lean team is desired
• ROLE
• Mandatory
• 1. Building applications for data preparation that includes impurities removal, anomaly detection, identifying inconsistencies and tranformations
• 2. Building applications for data exploration that includes missing value imputation, outlier analysis, class imbalance, correlation, and visualization
• 3. Building applications for feature engineering that includes feature generation, feature transformation, feature selection
• 4. Building applications for machine learning modeling that includes models development, hyperparameter optimization, model selection, training, validation and prediction
• 5. Building applications for machine learning automation that includes automating components included in each of the applications and automating integrated data science pipeline
• 6. Building sophisticated deterministic, stochastic and neural network models from scratch, in map reduce paradigm enabling distrubuted computing
• Preferred