Data Scientist

at Foghorn Systems

Data Scientist

Foghorn Systems

Company

Home

Data Scientist

at Foghorn Systems

Posted by Abhishek Vijayvargia

0 - 7 yrs

₹15L - ₹50L / yr

Pune

Skills

R Programming

Python

Data Science

Role and Responsibilities

Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
Three years of industry work experience, developing data mining models which were deployed and used.
Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

Soft Skills
- Sets expectations, develops project plans and meets expectations.
- Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
Technical skills
- Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
- Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
- Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
- Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
- OpenCV or other image processing tools or libraries
- Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
- Decision trees like XGBoost or Random Forests is helpful.
- Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
- Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
- Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
- Experience with PMML is of interest (see www.DMG.org).
Vertical experience in Industrial Internet of Things (IoT) applications:
- Energy: Oil and Gas, Wind Turbines
- Manufacturing: Motors, chemical processes, tools, automotive
- Smart Cities: Elevators, cameras on population or cars, power grid
- 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
2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
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

Role and Responsibilities

Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
Three years of industry work experience, developing data mining models which were deployed and used.
Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

Soft Skills
- Sets expectations, develops project plans and meets expectations.
- Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
Technical skills
- Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
- Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
- Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
- Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
- OpenCV or other image processing tools or libraries
- Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
- Decision trees like XGBoost or Random Forests is helpful.
- Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
- Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
- Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
- Experience with PMML is of interest (see www.DMG.org).
Vertical experience in Industrial Internet of Things (IoT) applications:
- Energy: Oil and Gas, Wind Turbines
- Manufacturing: Motors, chemical processes, tools, automotive
- Smart Cities: Elevators, cameras on population or cars, power grid
- Transportation: Cars, truck fleets, trains

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
2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
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.

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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About Foghorn Systems

Founded :

2015

Type :

Product

Size :

100-500

Stage :

Raised funding

About

Real-Time Edge Intelligence for Industrial

Abhishek Vijayvargia

Connect

Company social profiles

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 Must be well experienced in AWS, especially elastic bean in AWS
 Must have worked with push notifications service
 Must know socket programming
 Self-motivated with the ability to work independently or jointly in a self-directed
way.
 Demonstrated successful development of enterprise-grade web applications
 Proven analytical and problem-solving capabilities
 Comfortable leading product development
 Strong work ethic and desire to build industry-leading products

Also Nice to Have Skills and Background:
 Startup experience
 Worked on product development

Virtual Enterprise Sales Account Executive

at BrowserStack

1 video

8 recruiters

Posted by Vineeta Vishwanath

Mumbai

2 - 6 yrs

Best in industry

Inside Sales

Sales

Solution selling

Sales management

Technical sales

+1 more

About us:
What do Microsoft, The Gap, Royal Bank of Scotland, Lockheed Martin, and top Open Source projects like Angularjs have in common? They all use BrowserStack, as do over 25,000 other customers!BrowserStack is the innovation leader in the fast-growing market for automated application testing.

Since launching in 2011, our mission has been bold yet simple: To be the testing infrastructure for the internet. 6 years and billions of tests later, we are ready for our next phase of hyper-growth. Bootstrapped for the first 6 years, we continue to be profitable since inception with a near exponential growth in customers around the globe. Recently, we closed $50M in Series A funding from Accel.

We are looking for smart, innovative, and driven people to join us on the journey to creating the next great B2B SaaS company. Reporting to the Sales Manager, you will be part of a growing, high-performing team that delivers world-class results and learns from a team of seasoned entrepreneurs and sales experts. This will be a hands-on position in a typical start-up environment, so we are looking for a motivated self-starter who isn't afraid to roll-up their sleeves and contributes across many different functions.

Job Responsibilities:-

Generate sales revenue through prospecting, nurturing and closing business in the Enterprise Segment

Build and manage your sales pipeline for strong coverage ratios; achieve quarterly revenue targets

Manage the entire account lifecycle from account strategy, customer engagement, solution development and contract negotiation; meet or exceed quarterly revenue quota

Develop, maintain and grow executive relationships in your target account to expand revenue potential

Work with all levels of GTM leadership to continuously improve key sales management processes like territory planning, lead/pipeline/opportunity management and KPI reporting

Maintain excellent data discipline in salesforce.com for your book of business

Requirements- 2 - 5 years of quantifiable, new logo acquisition sales in B2B software with a strong track record of success; experience with full lifecycle of enterprise sales from qualification, solution definition to closing

- Strong willingness and ability to uncover opportunities by communicating a highly differentiated value proposition to open doors at new accounts or expand deals at existing accounts

excellent verbal and written communication skills with strong phone/video conference presence

- Persistent and optimistic problem solver with a vibrant, assertive and energetic attitude, strong work ethic and driven to succeed

- Passionate about Internet technologies, SaaS

extreme customer centricity and empathy; strong desire to work in a fast-paced, self-directed start-up environment

- Humble yet strong leader with a bias for action; team player who can inspire others to greatness

branch manager

One of the leading group

Agency job

via Recruitment by Ranjani Ashok

Remote, Bangalore

5 - 9 yrs

₹6L - ₹8L / yr

Underwriting

general insurance

B2B

Location Madurai/Hyderabad/Vijayawada/Bangalore

Job Title Branch Manager

Reporting to CEO & Principal Officer

ROLE SUMMARY

Branch Manager would be responsible for the complete management/operations of the Branch Office on all parameters including but not limited to Business Development and achievement of business targets, Operations, Underwriting, Claims, and General Administration.

DUTIES & RESPONSIBILITIES

Responsible for significant growth in the overall business volumes of TTI by acquiring new customers from segments viz., MSME, Corporates and HNI customers
Identify new customers and focus on them to position TT Insurance as a knowledge-based insurance intermediary
Work closely with the Sales Team and act as a bridge between the customer/sales and the insurance company/corporate office to arrive at meaningful solution on the risks being offered
Should have a keen eye on the technical aspects of all general insurance products and be able to articulate the same with the insurance company and Clients.
Supervise the functioning of the BDM’s and Office Assistant and ensure that the service levels on RFQ’s, Policy Issuance and Claims Management are handled in a professional manner without violating any of the provisions of IRDAI regulations
Be aware of the constant changes in the insurance environment and new products being introduced by insurance companies
Review the functioning of the team members and initiate corrective steps if any, after discussing the same with the Principal Officer.

EDUCATIONAL QUALIFICATION & COMMUNICATION SKILLS

Any Bachelor’s Degree from an UGC approved University.
Fluent in written & spoken English.
Should have good verbal communication skills in any two Regional Languages viz., Tamil, Telugu, Kannada etc.,
IRDAI Broker Qualified Person with valid certificate from National Insurance Academy would be an added advantage.

WORK EXPERIENCE

Minimum 5-8 years of insurance domain experience in Sales/Underwriting/Claims etc.
Good knowledge and exposure to all the General Insurance Products viz., Fire/ Marine/Engineering/Liability/Motor/Health & Miscellaneous
Should have worked in a broking firm / insurance company / insurance department of a large corporate company

KEY SKILLS/COMPETENCIES

Good Planning and execution skills
Possess good interpersonal relationship
Ability to convince the internal and external stake holders on technical aspects
Be Innovative /resourceful with an eye on rapid changing environment

Location Madurai/Hyderabad/Vijayawada/Bangalore

Job Title Branch Manager

Reporting to CEO & Principal Officer

ROLE SUMMARY

DUTIES & RESPONSIBILITIES

Responsible for significant growth in the overall business volumes of TTI by acquiring new customers from segments viz., MSME, Corporates and HNI customers
Identify new customers and focus on them to position TT Insurance as a knowledge-based insurance intermediary
Work closely with the Sales Team and act as a bridge between the customer/sales and the insurance company/corporate office to arrive at meaningful solution on the risks being offered
Should have a keen eye on the technical aspects of all general insurance products and be able to articulate the same with the insurance company and Clients.
Supervise the functioning of the BDM’s and Office Assistant and ensure that the service levels on RFQ’s, Policy Issuance and Claims Management are handled in a professional manner without violating any of the provisions of IRDAI regulations
Be aware of the constant changes in the insurance environment and new products being introduced by insurance companies
Review the functioning of the team members and initiate corrective steps if any, after discussing the same with the Principal Officer.

EDUCATIONAL QUALIFICATION & COMMUNICATION SKILLS

Any Bachelor’s Degree from an UGC approved University.
Fluent in written & spoken English.
Should have good verbal communication skills in any two Regional Languages viz., Tamil, Telugu, Kannada etc.,
IRDAI Broker Qualified Person with valid certificate from National Insurance Academy would be an added advantage.

WORK EXPERIENCE

Minimum 5-8 years of insurance domain experience in Sales/Underwriting/Claims etc.
Good knowledge and exposure to all the General Insurance Products viz., Fire/ Marine/Engineering/Liability/Motor/Health & Miscellaneous
Should have worked in a broking firm / insurance company / insurance department of a large corporate company

KEY SKILLS/COMPETENCIES

Good Planning and execution skills
Possess good interpersonal relationship
Ability to convince the internal and external stake holders on technical aspects
Be Innovative /resourceful with an eye on rapid changing environment

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