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Data scientist at Remote, Remote, USA
Email: [email protected]
From:

ranjeet kumar,

source infotech inc

[email protected]

Reply to:   [email protected]

Hi,

Data scientist

Contract: 6 Months

GC and USC ONLY

Remote but want candidates working in Georgia

Top Required Skill Sets

3+ years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena.

3+ years working with Python and SQL.

Experience with state of the art machine learning algorithms such as deep neural networks, support vector machines, boosting algorithms, random forest etc. preferred

Strong SQL skills in Big Data environment (Hive/ Impala etc.) a plus

Things that would stand out on resume

1- Masters Degree in Computer Science & Data Science

2- Previous Company - Any Bank, Ecommerce

Equifax is looking for a Sr. Statistical Consultant/Sr. Data Scientist to join our world-class Global Identity and Fraud Analytics team. In this exciting role, you will have the opportunity to work on a variety of

challenging projects across multiple industries including Financial Services, Telecommunications,

eCommerce, Healthcare, Insurance and Government. In this position you will:

Work with various stakeholders such as Business Consultants, Senior Statisticians, Product Management, and Clients on the formulation and application of new modeling solutions for a variety of industry problems

Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions

Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development

Research new and advanced predictive modeling techniques as appropriate for a specific solution

Present results and recommendations to internal and external customers

Work with cross-functional teams to develop ideas and execute business plans

Develop solution prototypes and help integrate them with the product

Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions

Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain

Desired Skills and Experience:

Minimum 3 years of professional related work experience

1-3 years quantitative analytical experience, including conducting hands-on analytics projects using generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, support vector machine, clustering, and similar methodologies

Proficiency skill in hands-on data mining and modeling projects with Python, R, and SQL

Masters degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline

Strong consultative acumen and ability to understand complex analytical solutions

Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

Ability to create new ideas for analytical solutions to address customer's business issues

Preferred Skills and Experience:

4+ years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena.

4+ years working with Python and SQL.

Experience with state of the art machine learning algorithms such as deep neural networks, support vector machines, boosting algorithms, random forest etc.

Preferred

Experience conducting advanced feature engineering and data dimension reduction in Big Data environment is preferred

professional experience as a data scientist or statistical modeler in identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena is a plus

Strong SQL skills in Big Data environment (Hive/ Impala etc.) a plus

Proficient with any programming languages such as Python , Java, Scala a plus

Experience working with very large datasets, knowledge of distributed computing tools (Hadoop Streaming, MapReduce, Spark) a plus

Exposure to Visualization tools such as Tableau a plus

Extensive knowledge in fraud prevention methods and detection tools a plus

Strong knowledge of credit bureau data and business problems in financial services and/or telecommunications a plus

I would appreciate your valuable reply.

Have a nice day. 

Thanks and regards

Ranjeet kumar

,

IT-Technical Recruiter

Source Infotech Inc

P.O. Box 577, EDISON, NJ 08818-0577

Web:www.sourceinfotech

Id:

[email protected]

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Fri Mar 08 01:39:00 UTC 2024

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