Job description
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Aspirant - Data Science & AI
Team: Sciences
Full-Time, Trainee
Bangaluru, India
Relevant Exp: 0 - 10 Years
Background: Top Tier institute
Compensation: Above Standards
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Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions.
Scaling established startup by IIT alumni innovating & disrupting marketing domain 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 six years of 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 our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design.
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.
First-and-Foremost
Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals.
Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when.
A book can be written on what an applicant must have before joining a <real startup with meaningful product>. For brevity, in nutshell, we need these three in you:
1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?)
2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?)
3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?)
You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all.
This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive.
Real ROLE
We are looking for students, graduates, and experienced folks with real passion for algorithms, computing, and analysis. You would be required to work with our sciences team on complex cases from data science, machine learning, and business analytics.
Mandatory
R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted.
R2. Must have soiled hands on methods, functions, and workarounds in NumPy, Pandas, Scikit-learn, SciPy, Stasmodels - collectively you should have implemented atleast 100 different techniques (we averaged out this figure with our past aspirants who have worked on this role)
R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python
R4. Must have understanding on EDA cycle, machine learning algorithms, hyper-parameter optimization, ensemble learning, regularization, predictions, clustering, associations - at essential level
R5. Must have solved atleast five problems through data science & machine learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted
Preferred
R6. Good to have required callibre to learn PySpark within four weeks once joined us
R7. Good to have required callibre to grasp underlying business for a problem to be solved
R8. Good to have understanding on CNNs, RNNs, MLP, Auto-Encoders - at basic level
R9. Good to have solved atleast three problems through deep learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted
R10. Good to have worked on pre-processing techniques for images, audio, and text - OpenCV, Librosa, NLTK
R11. Good to have used pre-trained models - VGGNET, Inception, ResNet, WaveNet, Word2Vec
Ideal YOU
Y1. Degree in engineering, or any other data-heavy field at Bachelors level or above from a top tier institute
Y2. Relevant experience of 0 - 10 years working on real-world problems in a reputed company or a proven startup
Y3. You are a fanatical implementer who love to spend time with content, codes & workarounds, more than your loved ones
Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data
Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it
Actual WE
W1. Real startup with Meaningful products
W2. Revolutionary not just disruptive
W3. Rules creators not followers
W4. Small teams with real brains not herd of blockheads
W5. Completely trust us and should be trusted back
Why Us
In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….
We offer you: <Do your 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 paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace.
How to Apply
You should apply online by clicking "Apply Now".
For queries regarding an open position, please write to careers@busigence.com
For more information, visit http://www.busigence.com
Careers: http://careers.busigence.com
Research: http://research.busigence.com
Jobs: http://careers.busigence.com/jobs/data-science
Feel right fit for the position, mandatorily attach PDF resume highlighting your
A. Key Skills
B. Knowledge Inputs
C. Major Accomplishments
D. Problems Solved
E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable)
If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.
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