This is a remote position.
Please go through the entire job post thoroughly before pressing Apply.
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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
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 (<2 years)
Competitive compensation
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| MUST HAVE |
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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)
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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
For more information, visit http://www.busigence.com
Products: http://busigence.com/offering
Careers: http://careers.busigence.com
Research: http://research.busigence.com
Jobs: http://careers.busigence.com
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 http://busigence.com/offering
We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.
We offer you: [Greatest work of life]
You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.
We try real hard to hire fun loving crazy folks who are driven by more than a paycheque. You shall be working with creamiest talent on extremely challenging problems at most happening workplace
