Analyst-Data Science

0-3 years

Not Disclosed

Gurugram

10 Feb. 26, 2024

Job Description

Job Type: Full Time Education: Any Graduate Skills: Python, .net, Django, Javascript, CSS, Communication Skills, Power Bi, Numpy Pandas, Sql, Data Analysis

Job description

As part of the Accertify Fraud Decision Sciences team in CFR, the incumbent will be primarily responsible for building and providing industry leading Decision Science Solutions and Data Products for Accertifys clients. Successful solutions will improve the efficiency of Accertify fraud solutions to merchants - more automatic decision and fewer manual review - while maintaining or improving fraud prevention and opening new revenue streams

Key Responsibilities:

Deliver fraud prevention solutions for Accertify s clients
Understand the key drivers / behaviors associated with different types of Fraud
Being abreast of the latest fraud trends and problems being faced by the industry and Accertify clients
Drive Modeling innovation: Develop new and enhance existing models by utilizing the best-in-class machine learning / AI techniques
Elevate Data Science: Perform Feature Engineering using data from clients spanning various industries across the globe to improve models risk discrimination or improve economics over and above existing framework
Partner and collaborate with multiple Accertify colleagues to implement models & develop Capabilities that will help in more optimal decision and drive revenue

Critical Factors to Success:

Business Outcomes: Drive Revenue growth and profitability through advanced analytical techniques; Innovation in use of Modeling Techniques and Variable creation.
Leadership Outcomes: Put enterprise thinking first - connect the roles agenda to enterprise priorities and balance the needs of customers, partners, colleagues.
Lead with an external perspective - challenge status quo and bring continuous innovation to our existing offerings while keeping a keen eye on industry/competition
Build the Best Team - nurture and enhance teams ML/AI skills, data expertise and Consulting skills
Demonstrate Learning Agility - make decisions quickly with highest level of integrity

Minimum Qualifications:

0-3 years with relevant experience in the Analytics/ Modelling/ Decision Science domain
Postgraduate in Statistics / Mathematics / Economics / Engineering/Management
Data Science/Machine Learning/Artificial Intelligence: Gradient Boosting Machines, Deep Learning, Unsupervised Techniques, Decision Trees etc.
Understanding of Advanced Statistical Techniques and Key model performance metrics ex. Data Correlation; AUC/GINI, Precision, Recall
Knowledge of R, Python, PySpark, SAS, SQL; Advanced Excel and PowerPoint

Behavioral Skills/Capabilities

Set the Agenda- Strong quantitative skills with demonstrated ability to lead and perform analysis
Ability to connect and utilize a wide array of seemingly unstructured data attributes
Bring Others with You - Building trusting relationships and a strong collaborator with the ability to influence others
Drives Results - Attention to detail and high-quality execution and ability to manage multiple projects concurrently in an environment of tight deadlines
Communicate Frequently, Candidly and Clearly
Make Decisions Quickly & Effectively

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

Role: Data Scientist

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

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