Data Scientist – Risk & Fraud Analytics (Online Payments)

Parishram Resources I Pvt. Ltd.; United States; Remote; USD 61,992 - 68,880; Part time

Job summary

A leading consulting firm is seeking a Global Manager to leverage data insights across various regions, including the US and Canada. The ideal candidate will have strong analytical skills, a bachelor's degree in a quantitative field, and programming fluency. Responsibilities include analyzing data, designing algorithms, and collaborating with teams for insights that drive business improvements. Competitive pay of $45–50/hr is offered, based on experience.

Qualifications

• 1–2 years of experience in quantitative analytics or data modeling.
• Deep understanding of predictive modeling and algorithms.
• Familiarity with Big Data frameworks.

Responsibilities

• Analyze raw data for quality and structure.
• Design scalable prediction algorithms.
• Collaborate with engineering for production prototypes.
• Generate actionable insights for business improvements.

Skills

Data analysis

Collaboration

Machine learning

Programming (Python, C, C++, Java, SQL)

Education

Bachelor’s degree in quantitative fields

Tools

Tableau

Hadoop

Cassandra

Spark

Job description

Global Manager – US, Canada, LATAM, and Europe

Parishram Resources I Pvt. Ltd. offers a base pay range of $45.00/hr - $50.00/hr. Your actual pay will be based on your skills and experience—talk with your recruiter to learn more.

The ideal candidate’s favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing.
• Design accurate and scalable prediction algorithms.
• Collaborate with engineering team to bring analytical prototypes to production.
• Generate actionable insights for business improvements.

Qualifications

• Bachelor’s degree or equivalent experience in quantitative fields (Statistics, Mathematics, Computer Science, Engineering, etc.).
• At least 1–2 years of experience in quantitative analytics or data modeling.
• Deep understanding of predictive modeling, machine‑learning, clustering and classification techniques and algorithms.
• Fluency in a programming language (Python, C, C++, Java, SQL).
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau).

Job Details

• Seniority level: Associate
• Employment type: Contract
• Job function: Information Technology
• Industry: IT Services and IT Consulting