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UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 13th Feb 2023
Describe the function your group supports from an LOB perspective:
Enterprise wide (Azure, Cloud adoption for model ops)
Day to Day responsibilities:
Implementing and operating the Azure Databricks and cloud environment Governing the machine learning and data analytics labs Providing AI & ML, data engineering to enable the business to be successful in Azure Databricks Creating necessary changes within the environment Working w/Enterprise architecture to develop native cloud strategy Conducting onboarding meetings for business cloud adoptions
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Responsible for:
The design, development, testing, and deployment of model lifecycle process to productionize models Working with the Data Scientist/Business to define the rules, triggers, and/or alerts to monitor the execution of models to adhere to the SLAs of the business Handling level ⅔ support issues related to models in the business Productionizing models and data processing code included in model data pipelines Developing automation for the AI/ML and Data Engineering pipelines that work with Managing within the change management process to deploy developed and tested assets to production in both Azure Databricks cloud and on-premises Big Data Cloudera setting
Job Responsibilities:
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Skills:
Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
Experience working with large datasets.
Education/Experience:
Master of Science degree in computer science or in a relevant field or equivalent work experience required
8+ years of relevant experience required.
Mention the years of experience:
Skill Must have yrs of exp:
Azure Databricks Yes 6 + Years
Data engineering Yes 6 + Years
DATA ANALYTICS Yes 6 + Years
AI engineering Yes 6 + Years
Azure Cloud Yes 6 + Years
Spark Yes 6 + Years
Leadership Experience Yes 6 + Years
Python Yes 6 + Years
DataLake Architectures (Snowflake, Databricks (AWS google cloud exp)
Visio (or any design tool)
Cloudera/Big Data
Candidate must provide a writeup for prescreen questions.
Are there 2-3 screening questions that suppliers can ask prior to submittal and submit with the candidate’s resume that would provide insight on their fit for this role (these would not be manager’s interview questions and may not apply to all positions i.e., Non -IT)?
1. Do you previous lead experience? If so - describe your day to day responsibilities in your most recent lead position?
2. Do you have any experience implementing or doing day-to-day work in a cloud context?
Preferred/Bonus Skills:
DataLake Architectures - Snowflake, Databricks (AWS google cloud exp) Cloudera/Big Data Design tools (i.e., Visio preferred but any design tool is fine)
Are there 2-3 screening questions that suppliers can ask prior to submittal and submit with the candidate’s resume that would provide insight on their fit for this role (these would not be manager’s interview questions and may not apply to all positions i.e., Non -IT)?
Do you previous lead experience? If so - describe your day to day responsibilities in your most recent lead position?
Do you have any experience implementing or doing day-to-day work in a cloud context?
Is there anything you are willing to flex on if there is not a candidate under the current market conditions with all your must have skills?
If a candidate is stronger in certain technical skills than others - the manager would be flexible on reviewing them (i.e., stronger in azure cloud/azure database but weaker in others - he would still consider as long as they had the knowledge/tech skill overall) & aptitude/willingness to learn asap
Describe interview process (who will be involved, how many interviews, etc.):
1st round will be 30 min screening via teams w/manager 2nd round will be hr long technical panel w/PNC partners