Fresher - Data Science Engineer

This is a remote position.

Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.

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Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.

Fresher - Data Science Engineer Team: Sciences

Location: Remote

Relevant Exp: 0-2 Years

Background: Been there-Done that

Compensation: Above industry standards

Requirements

This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsive Remote position (work-from-anywhere)

Immediate joiners must apply

Data Science Experienced - course/competitions//internships/job ( Competitive compensation

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| MUST HAVE |
************ 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?(we shall guide but won't spoon-feed)

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We are offering one of the most challenging & exciting work on Applied ML. You shall be working on sophisticated platforms, products and applications

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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

1. Functional programming in Python on vinaigrette map-reduce lambda paradigm

2. Complex mathematical logics through PySpark at scale on parallel/distributed clusters

3. Worked on development of data platform

4. Worked on TensorFlow, PyTorch, Keras

Benefits

How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write
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Scaling established startup innovating & disrupting various domains through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. We are a deep rooted organization with success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing Enterprise AI products. More details at
We work extensively & intensely on big data, data science, machine learning, deep learning, re