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Data Scientist AI ML Team @ Diraa HR Services

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 Data Scientist AI ML Team

Job Description

Full Time Bangalore Posted 2 years ago Come aboard our growing global team and work for a category leader with a market presence in 15 countries. You will work with some of the leading financial institutions worldwide who rely on our product innovation in helping them shield themselves against the global $4 trillion problem of financial fraud. We create customer-centric predictable enterprises and we do this by directing intelligence to the heart of every customer interaction. In real-time. We are seeking sharp, energetic Data Scientists to help us keep pace with our global expansion. Youll be core member of a specialist team working on our Artificial Intelligence & Machine Learning stream. You bring your skills, experience and passion and we will give you the springboard for your ambitions. The Role: Work as part of Clari5.ai team in defining, prototyping and implementing data science models/algorithms as part of the product. Take ownership of the data science model. end-to-end from data collection to model building to monitoring the model in production. Along with product managers and domain experts, own the business outcomes/metrics which the data science model/algorithm drives. Work with the product managers and engineering to define best practices for the team. Mentor junior colleagues and conduct internal workshops. Help to make data science and data-driven decision making a part of the organisations DNA. Your Skills: Must have 3 8 years of experience working on model building. Solid understanding of the mathematics related to data science probability, statistics, linear algebra etc. Ability to understand business concerns and formulate them as technical problems that can be solved using data and math / stats / ML. Experience working as part of a product team, along with engineers and product managers, to define the problem and execute the data science solution. Must have built 2-3 end to end ML projects in the past. Knowledge of R or Python is a must. Strong hands on experience in working with SQL databases. Experience working with large data sets, coming from varied sources, is a plus Conceptual understanding of big data technologies (Hadoop / HDFS / Spark) is a plus. Prior experience in Natural Language Processing, Recommender Systems or Social Network Analysis is a huge plus. Your Education / Qualification: Bachelors degree or equivalent combination of education and 3 years or more of experience. Bachelors degree in Computer Science, Masters in Mathematics / Statistics preferred. About Us Endorsed Category Leader in Financial Crime Risk Management Systems for Enterprise Fraud by Chartis Research, Winner of Best Fraud Detection Product by Risk.net and ranked consistently in Chartis RiskTech100 rankings, CustomerXPs redefines real-time, cross-channel banking Enterprise Fraud Management using AI like a central nervous system to fight financial crime. The companys flagship product Clari5 harnesses the combined power of Automation, AI, Decision Sciences & Real-time Decisions. Clari5 currently processes over 10 billion transactions, manages over 450 million accounts and reliably secures 4% of the global populations banking transactions. With 200 million accounts at a single site, Clari5 has the worlds largest implementation of a fraud management solution. Tier 1 banking customers across 15 countries who trust Clari5 for driving their fraud management strategy are recipients of global industry acclaim, including Banking Technologys Best Use of IT in Risk Management/Regulation and Celents Model Bank of the Year. Job Features Job Category Product Engineering

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: Operations Management / Process Analysis
Functional Area: Not Applicable
Role/Responsibilies: Data Scientist AI ML Team

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Keyskills:   model building mathematics statistics linear algebra R Python Natural Language Processing Recommender Systems Social Network Analysis SQL databases big data technologies

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