Details:

About the Company:

OpenEBS is building a platform in the machine learning area with the goal of helping customers to offload the responsibility of storage provisioning planning, storage operations to software intelligence. This storage data science platform processes storage access patterns from thousands of live deployments and catalogues the data from millions of volumes and applications.

OpenEBS is sponsored and driven by CloudByte. CloudByte is a containerized enterprise storage company that offers guaranteed quality of service (QoS) to every application from a shared storage platform. It was established in 2011 by technology executives from companies such as HP, IBM, NetApp, and Novell, CloudByte is backed by Nexus Venture Partners and KAE Capital.

Role details: There are multiple vacancies for this position across various levels of seniority in the organization

Senior:

The senior data science engineer is responsible for the design and implementation of ML platform for storage access pattern prediction, storage capacity prediction and storage performance prediction. The candidate is expected to drive the architecture, design of the data science platform and at the same time participate in the day-to-day implementation of various modules of the platform.

Desired experience range: 5+ years in a core Data Science function

Junior:

This role is responsible for accountable for implementation of complete data modelling modules. This would involve extensive predictive modelling, simulations and decision making at the component level. 

Desired experience range: 3+ years in a core Data Science function

Primary responsibilities:

• Accountable for the design and implementation of the individual data science modules
• Participate in the vision-brainstorming along with the company’s core team and add significant value
• Drive the ML and deep learning skills and knowledge among the junior team members
• Accountable for implementation of data modelling, predictive models and simulations at the component level

For Senior Data Scientist (only):

• Mentor the junior data science engineers in their implementation activities and build the data science culture among the team members
• Communicate technical ideas to a non-technical audience

Desired Skills:

Must have experience:

• Analytical problem solving
• Should be proficient with Python
• Experience with SQL and NOSQL databases
• Experience independently building statistical models, simulation and analysis
• Demonstrated passion for data science
• Understanding of data visualization patterns
• For Junior: Degree in Mathematics or statistics is required

Preferred experience:

• Product experience, preferably across cloud storage
• Experience with data visualization and communication
• Experience data cleaning and augmenting unstructured data, with tools such as Hadoop
• Experience with machine learning techniques, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence)
• Experience with AWS

• Demonstration of participation in hackathons is a plus
• Knowledge of Data platforms like Hadoop (Hive, Pig, Spark), Scripting (Python, Perl), Java/Scala, R/Matlab
•  Nice to have exposure to traditional BI/data warehousing

Education:

Degree in Mathematical and Statistical modeling (quantitative discipline ), a PHD around the same is a plus.

Pay scale:

For Junior: upto 20L

For Senior: Upto 30L

Above market standard salary.

Min. Qualification:

ug

Skills Required:

aws, hadoop, hive, pig, python, sql, statistical modeling, statistics