Data Analytics Engineer For Top MNC
(5+ years exp)LRR Technologies
Job Location
Job Type
Full TimeVisa Sponsorship
Not AvailableRemote Work Policy
In office - WFH flexibilityRelocation
AllowedSkills
Hiring contact
Saikumar PThe Role
LRR Technologies is currently hiring talented people to work with Carrier Corporation. Carrier Corporation (NYSE: CARR) is a global provider of innovative heating, ventilating, and air conditioning (HVAC), refrigeration, fire, security, and building automation technologies boasting annual sales of over $20 billion, with 58,000 employees spread across 160+ countries. For its R&D center in Hyderabad, Carrier is looking for a talented Data Analytics Engineer.
Roles and Responsibilities
The Data Analytics Engineer role will focus on requirements and architecting the solutions based on Model-Based Advanced Analytics. This role shall engage with project teams to plan, set up and execute requirements capture and management capabilities.
Education
Education Masters degree in Computer Science, Statistics, Math, or Engineering with 5+ years of experience.
Desired Candidate Profile
- Excellent understanding of data mining, machine learning techniques, and algorithms.
- Knowledge of statistical programming languages, including but not limited to R, Python, SLQ, etc., to process data and gain insights from it.
- Strong coding experience: C/C++, Python, Java, JavaScript, etc.
- Solid background in database management tools such as SQL.
- A broad set of technical skills and expertise in machine learning focused on cutting-edge technologies such as IoT, artificial intelligence (AI), and cloud computing.
- Familiar with IoT framework and experience in implementing analytics algorithms in any of the cloud-based platforms Azure, PTC, and AWS.
- Fluent in English (both written and spoken), solid technical writing, presentation, and communication skills.
- Good understanding of control systems.
Preferred Technical Skills/Education
- Strong hands-on experience in an analytics environment and applications.
- Strong hands-on experience in collecting, filtering, organizing, and analyzing large-scale datasets using a cloud-based platform.
- Strong hands-on experience in implementing analytics algorithms to cloud-based IoT platforms (Microsoft Azure preferred).
- Strong hands-on experience with the following libraries from Python: Pandas, Numpy, Scipy, Scikit-Learn, TensorFlow, Matplotlib, Seaborn, Plotly, and SALib.
- Familiar with the vectorized implementation of analytics algorithms.
- Experience with developing end-to-end analytics solutions using Python or cloud-based implementation is a plus.
Additional Comments
This candidate must be highly motivated, organized, self-driven, and able to function in a global team environment (USA, China, India, and Europe) and demonstrate problem-solving and analytical thinking skills.
Perks and Benefits
The position will pay quite well - Rs. 15-20 lakh per annum is the band, and the final amount may be even higher depending on your experience and expertise.
If made an offer, you will need to join in 4 weeks.
This is a lifetime opportunity for people looking to specialize in highly coveted niche futuristic skills and to work in a top multinational company with excellent employee-first initiatives. We look forward to your application.