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Scienaptic is the world's leading AI powered Credit Underwriting
platform company. Designed by seasoned Chief Risk Officers, its platform is
creating industry leading business impact in terms of lifts such as higher
approvals (15-40%) and lower credit losses (10-25%) with all the regulatory
explainability. Last year alone, we have helped financial institutions evaluate
45 Million consumers and offer credit to over 15 Million. Scienaptic’s clients
include Fortune 100 banks, community banks and Fintechs.
This role will enable you to be at the forefront of latest cutting-edge
technology and create a significant and visible business impact for Scienaptic
as well as its clients. You will be working with some of the best-in-class
Coders, AI/ML Scientist and Business Analytics Consultants in an environment
which will encourage you to contribute widely to functional and technological
aspects.
Responsibilities:
Manage and lead a
team of Engineers and Data Scientist across India and US
Establish and
maintain connect with senior stakeholders across clients
Leverage the batch
computation frameworks and workflow management platform (Airflow) to assist in
building out different data pipelines
Lower the latency
and bridge the gap between production systems and data warehouse by rethinking
and optimizing our core data pipeline jobs
Pair with client
teams to optimize and rewrite business critical batch processing jobs in Spark
Build a framework
and tools to re-architect data pipelines to run incrementally
Skills and Experience:
8-10 years of
overall experience; 3-4 years of team leading experience
Good understanding
of data analysis using SQL queries; Strong hold on Java or Python as a
programming language
Experience of building
libraries and tooling that provide abstractions to users for accessing data
Experience of
writing and debugging ETL jobs using a distributed data framework (Spark/Hadoop
MapReduce)
Experience of optimizing
the end-to-end performance of distributed systems
Ability to recommend
and implement ways to improve data reliability, efficiency, and quality.
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Designed by seasoned Chief Risk Officers, its platform is\ncreating industry leading business impact in terms of lifts such as higher\napprovals (15-40%) and lower credit losses (10-25%) with all the regulatory\nexplainability. Last year alone, we have helped financial institutions evaluate\n45 Million consumers and offer credit to over 15 Million. Scienaptic’s clients\ninclude Fortune 100 banks, community banks and Fintechs.<br /> <br /> This role will enable you to be at the forefront of latest cutting-edge\ntechnology and create a significant and visible business impact for Scienaptic\nas well as its clients. You will be working with some of the best-in-class\nCoders, AI/ML Scientist and Business Analytics Consultants in an environment\nwhich will encourage you to contribute widely to functional and technological\naspects.</span></p><p class=\"MsoNormal align-justify\" style=\"margin-bottom: 0.0001pt; line-height: normal; text-align: justify\"><span class=\"size\" style=\"font-size: 10pt\"><br /><b>Responsibilities:</b></span></p><ul><li><b><span class=\"size\" style=\"font-size: 10pt\"> </span></b><span class=\"size\" style=\"font-size: 10pt\">Manage and lead a\nteam of Engineers and Data Scientist across India and US</span><br /></li><li><span class=\"size\" style=\"font-size: 10pt\"> </span><span class=\"size\" style=\"font-size: 10pt\">Establish and\nmaintain connect with senior stakeholders across clients</span><br /></li><li><span class=\"size\" style=\"font-size: 10pt\"> </span><span class=\"size\" style=\"font-size: 10pt\">Leverage the batch\ncomputation frameworks and workflow management platform (Airflow) to assist in\nbuilding out different data pipelines</span><br /></li><li><span class=\"size\" style=\"font-size: 10pt\"> </span><span class=\"size\" style=\"font-size: 10pt\">Lower the latency\nand bridge the gap between production systems and data warehouse by rethinking\nand optimizing our core data pipeline jobs</span><br /></li><li><span class=\"size\" style=\"font-size: 10pt\"> </span><span class=\"size\" style=\"font-size: 10pt\">Pair with client\nteams to optimize and rewrite business critical batch processing jobs in Spark</span><br /></li><li><span class=\"size\" style=\"font-size: 10pt\"> Build a framework\nand tools to re-architect data pipelines to run incrementally </span><br /></li></ul><p class=\"MsoNormal align-justify\" style=\"margin-bottom: 0.0001pt; line-height: normal; text-align: justify\"><b><span class=\"size\" style=\"font-size: 10pt\">Skills and Experience</span></b><span class=\"size\" style=\"font-size: 10pt\">:</span><br /></p><ul><li><span class=\"size\" style=\"font-size: 10pt\">8-10 years of\noverall experience; 3-4 years of team leading experience</span><br /></li><li><span class=\"size\" style=\"font-size: 10pt\">Good understanding\nof data analysis using SQL queries; Strong hold on Java or Python as a\nprogramming language</span><br /></li><li><span class=\"size\" style=\"font-size: 10pt\">Experience of building\nlibraries and tooling that provide abstractions to users for accessing data</span><br /></li><li><span class=\"size\" style=\"font-size: 10pt\">Experience of\nwriting and debugging ETL jobs using a distributed data framework (Spark/Hadoop\nMapReduce)</span><br /></li><li><span class=\"size\" style=\"font-size: 10pt\">Experience of optimizing\nthe end-to-end performance of distributed systems</span><br /></li><li><span class=\"size\" style=\"font-size: 10pt\"><span class=\"font\" style=\"font-family: verdana, sans-serif\">Ability to recommend\nand implement ways to improve data reliability, efficiency, and quality.</span></span><span class=\"font\" style=\"font-family: verdana, sans-serif\"></span><br /></li></ul><div><br /></div></span><br />","isHybridJob":false,"isRemoteJob":true,"noOfOpenings":1,"maxExperience":"12","minExperience":"8","isOnPremiseJob":false,"onBehalfOfName":"Scienaptic","otherlocations":[],"zohoCurrencyIn":"USD","experienceLevel":"Mid / Senior","zohoNoOfOpenings":{"noOfOpenings":1,"fulfillmentIds":["557706000004107674-1"]},"otherJobReference":null,"sharpenedJobTitle":"Technology Lead","job_category_group":3,"portalLocationDisplay":"New York NY","expertise_coreskill_or_product":["Other"],"job_id":"2310"}