Location
Mumbai | India
Job description
About Faclon Labs:
We are a group of IIT Bombay graduates who are keen to use technology to positively impact the common man's life by giving valuable solutions to day-to-day life's problems. We provide end-to-end solutions to remote monitoring and automation requirements focused on making cities and villages smart. We have an assortment of devices connected over GPRS, 4G-LTE, Wi-Fi, LoRa sending the sensed data to our cloud. The cloud finally delivers high-end insights and analytics to end-users in the most efficient and easy-to-understand way, thereby empowering them with real-time complex insights to deliver perfection.
Role Overview:
Our data science team is seeking an experienced senior data scientist with a strong background in machine learning, deep learning and big data. The team needs someone who not only can modify existing ML libraries, but also can write and develop new libraries. In this role you will be coordinating with the in-house Product Development team to build our platform's analytics solutions in the field of Energy Management Systems, Water Management Solutions, Vibration Monitoring, Process Industries, etc.
The successful candidate will have a proven track record in data management, leadership, and information technology systems and tools. A strong background in IT, Business, and Mathematics is advantageous. As the Chief Data scientist, you will be brought in early in the development process to advise the best way to move forward and will be used to establish best practices.
Job Responsibilities:
- Design, train and deliver machine learning solutions to a wide range of datasets: from small datasets to big data, time series to 3D matrices, both unlabeled and labeled
- Analyze the data, develop insights and identify the opportunity to utilize the data to predict various industry specific KPIs
- Develop prediction and optimization algorithms for Time Series Forecasting, Predictive Maintenance, Vibration Monitoring, etc.
- Work with our Product team to help our customers operationalize models after they are built
- Stay up to date with the latest machine learning techniques by reviewing literature, attending conferences, etc.
- Work in a highly collaborative environment to brainstorm, design, implement and deliver ML solutions to some of the most challenging IOT problems
- Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals
- Other duties will include leading interdisciplinary teams, improving and streamlining data systems within the company, and driving innovation
Qualification:
- Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional experience
- Master's degree is preferred
- 3+ years related experience Data Science and analytics domain with Industry experience
- 2+ years of experience with deep learning algorithms and techniques, including but not limited to:
- CNN, LSTM, RNN
- Optimization Techniques
- Reinforcement Learning
- Track record of organizational, prioritization, multitasking, communication, and leadership skills
- Demonstrated ability to collaborate with internal/external cross-functional and partner teams
Desired Skills:
- Programming experience with R/Python
- Experience in predictive modeling, time-series forecasting, wavelet transform and FFT
- Strong hands-on experience in implementing and validating big data algorithms and models such as ARIMA including Deep Learning models like CNN/RNN/LSTM etc.
- Experience in various cloud platforms, AWS, Azure and Thing Worx analytics
- Experience in integrating new techniques into the live production system
- Experience and awareness of IoT business applications across Industry verticals covering any of Smart Cities and buildings, Energy, Manufacturing, connected industrial and consumer products
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data
Experience translating analysis results into business recommendations
Industry
-Computer Software
Employment
-Full-time
Job tags
Salary
