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Manager - Data Science

2.00 to 4.00 Years   Bangalore   31 Jan, 2022
bluCognition
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

    Manager - Data Science (Zip Co) About bluCognition: bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune.We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey. The Role is with Zip Co Our client Zip Co for whom we are hiring extensively - Zip Co, a major global player in the consumer - buy now pay later segment with HQ in Sydney, Australia. The group has presence in multiple countries including USA, Australia, New Zealand, UK and Canada and is increasingly expanding into newer markets. The company is listed on the Australian Stock Exchange as Zip Co, with a market capitalization of $5Bn. With a customer base of 4.5 million customers and 30,000 merchants, the company generates in excess of $5Bn in annual payments globally. Zip Co. entered the US market in 2020 through acquisition of QuadPay Position: Manager Data Science (IC) Roles & Responsibilities: - Build (develop/test/validate) statistical/ML models, optimization solutions, inference techniques for risk management, marketing and customer acquisition/management to create significant business impact.- Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources to improve models.- Maintain robust documentation of approach and techniques use -including objectives, assumptions, performance, weaknesses and limitations.- Be ready to adapt to new tools/libraries/technologies/platforms.- Actively partner with different development groups inside of the organization.- Further develop expertise in statistical learning through self-study, project exposure and guidance of senior team members.- Work with Agile Scrum frameworks following best practices to drive Epic/Feature/Story creation to drive solution design and development Qualifications : - Degree in computer science, Mathematics, Statistics or Engineering from a premier institution- Minimum 6 years of experience with 2 years of experience in BFSI.- Strong knowledge of SQL and at least one open-source statistical programming language (R, Python). - Ability to work efficiently at scale and derive insights from large data sets. - Experience with exploratory data analysis, statistical analysis and testing, and model development; rich experience in at least one production ready deployment of Machine Learning algorithms.- Knowledge of underlying mathematical foundations of statistics, hypothesis testing, machine learning, optimization, and analytics- Self-driven with an aptitude for independent research & problem solving- Industry experience in risk management, payments, financial services & fraud management Bonus Qualifications : - In depth knowledge of Machine Learning algorithms for NLP- Experience in leading a team as a manager- Experience using Azure platform- Experience using PySpark/Scala for big data manipulation and processing- Industry experience in risk management, payments, financial services & fraud management,

Keyskills :
risk analyticsexploratory data analysisdata analysisrisk managementdata integritybig datastock exchangedata science

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