Senior Data Scientist, Actimize

At NICE, we don’t limit our challenges. We challenge our limits. Constantly. We’re relentless. We’re ambitious. And we make an impact. Our NICErs bring their A game and spend each day turning it into an A+. And if you’re like us, we can offer you the kind of challenge that will light a fire within you.

Key Responsibilities

Senior Data scientist Responsibilities

• Dealing with large amounts of data and extract knowledge or insight to
  
  

analyze fraud cases obtained from clients and flag off any inconsistencies.

• Proficiency in handling imperfections in data is an important aspect of this role
• Develop scientific ML Models, processes, to extract knowledge or insights to Perform data analysis to support and develop fraud prevention analytical models
• Research data patterns for prediction of fraudulent transaction
• Identify and improve the Fraud detection performance /Model delivery time of previously delivered models with the help of advanced computational algorithms and tools .
• Cross-validating models to ensure their generalizability.
• Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant and drive the continuous improvement of Ways of Working of the Data Science and analytics.
• Bring together disparate data types in compelling visualization packages that provide end users with the ability to see both ‘the landscape’ and details leading to improved decision-making Presenting results in a clear manner
• Exceptional technical and business communication in English, verbal and written
  
  

Collaboration

• Collaborate with Business and other stockholders within Nice
• candidate should be apt to solve data problems in a simple and agile manner
  
  

Stakeholder Management

• Ability to explain complex analytical concepts to non-technical audience.
• Ability to effectively advocate technical solutions to customers / account managers /Data engineering teams and business audiences.
  
  

Innovation and knowledge sharing

• Present innovative solutions to various stakeholders and bring that skill within team to make them stay ahead.
• Should be a good team player to actively contributes to team to complete tasks, meet goals, respect ideas and aim to improve the product or process at hand.
• Self-motivated to participate in Nice wide various innovative forums.
  
  

Experience: 3 to 8 Years

Qualification and skills:

• Advanced degree in a quantitative area (statistics, mathematics, physics, computer science, engineering)
• Experience in application and knowledge of statistical techniques and concepts (statistical tests, regression, feature selection, time series modeling, etc.) Strong experience with using SQL and EXCEL.
• Strong programming skills in Python 3.7 or more and ability to rapidly learn new programming tools and experience in application and knowledge of machine learning techniques (clustering, decision trees, boosting, etc.) and their advantages or drawbacks.
• Good command into develops and deploying classification and regression machine learning models at an enterprise level.
• Versed with various bagging boosting methods and able to choose which one should be used based on data.
• Have fair understanding of Logistic regression and various regularization techniques.
• Having knowledge of Model deployment and production model monitoring with ML-ops framework or containerized environment (Kubernetes) will be plus.
• Expert into troubleshooting issues with a variety of production data and past deployed models.
• Familiarity with various cloud infrastructure (especially AWS and Azure) is a good to have.
• Ability to work in multi-disciplinary agile teams.
• Strong commitment to deliver work with “Right first time” approach
  
  

Additional Desired Qualifications:

• Experience in development of risk management models, particularly in the fraud or financial compliance areas.
• Knowledge of national and international financial systems and appropriate data standards.
• Experience of containerized Model development using Kubernetes
  
  

About NICE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.