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Data Scientist
Data Scientist
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Data Scientist

Rahul Gupta's profile picture
Posted by Rahul Gupta
1 - 3 yrs
₹3L - ₹6L / yr
Delhi, Gurugram, Noida
Skills
Data Science
Deep Learning
Python
Keras
TensorFlow
Machine Learning (ML)

Job Description


We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications

  • Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
  • Experience with Deep Learning preferred.
  • Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Great communication skills
  • Proficiency in using query languages such as SQL, Hive, Pig 
  • Good applied statistics skills, such as statistical testing, regression, etc.
  • Good scripting and programming skills 
  • Data-oriented personality
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About One Labs

Founded :
2015
Type
Size
Stage :
Raised funding
About

Building products in Artificial Intelligence and E-Commerce

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Rahul Gupta
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    • Transportation: Cars, truck fleets, trains

 

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

  • 2019 Edge Computing Company of the Year – Compass Intelligence
  • 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
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  • 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
  • 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
  • 2018 The 10 Most Innovative AI Solution Providers – Insights Success
  • 2018 The AI 100 – CB Insights
  • 2017 Cool Vendor in IoT Edge Computing – Gartner
  • 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

  • We care about “best practices”
  • Have a direct impact on the company’s revenue
  • Give or receive mentoring as part of the collaborative process
  • Questions and challenging the status quo with data is safe
  • Intellectual curiosity balanced with humility
  • Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning

 

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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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