Data Analytics
The role will be part of our customer success team. You will work extensively on large datasets to identify and help remediate data risks for customers from diverse domains, and support them as a trusted security advisor.
Responsibility
- Analyse customer data on Concentric Platform, extract relevant insights to identify data risks, develop risk remediation strategies
- Prepare and present data risk reports to customers. Handhold them for implementation of the risk remediation strategies
- Develop, curate and maintain training datasets for AI models
- Label large datasets for supervised learning of AI models
- Serve as customer’s trusted data security advisor, providing subject matter expertise, strategic guidance to drive adoption of concentric platform aligned with customer objectives
- Strong experience on with data analytics. Proven ability to extract relevant insights from big volumes of data to solve specific problems. Eye for detecting trends, anomalies in data.
- Experience in developing training datasets for AI models and data labelling for supervised learning of AI models.
- Excellent attention to detail
- Customer advisory experience preferably in data security domain
- Experience on with Excel as data analysis and reporting tool is required. Knowledge of other tools like Python, Kibana, Jira, ppt will be a plus.
- Broad knowledge of operationalizing data security, regulations and standards will be an advantage
- Excellent communication skills across various formats and mediums. Strong presentation and facilitation skills
- Use creative problem-solving skills to help customers reach their business goals and maximize the value they are getting from Concentric platform
- Graduate/Post Graduate in Engineering discipline from premium institute
Subodh Popalwar
Software Engineer, Memorres
About Concentric AI
About us:
Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.
There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.
Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.
That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.
Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/
Python
Java
Amazon Web Services (AWS)
MongoDB
KubernetesConcentric AI is a US-based Series-A-funded startup. It has engineering offices in Bangalore, San Jose, and Pune.
We are in the data security domain and use AI and machine learning to solve customer use cases. Our customers, large and mid-size enterprise customers are across verticals.
Using Semantic Intelligence, we address data security without rules or regex or end-user involvement. Our product helps gain visibility into the who, where and how of an enterprise customer's sensitive data. A customer can automatically remediate and minimize data risk with Concentric AI.
You can go through details of Concentric product on our website - www.concentric.ai
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Follow CutshortSubodh Popalwar
Software Engineer, Memorres