Senior Data Scientist

Job Title: Data Scientist III Location: San Jose, CA/Chicago, IL Duration: 18 months (Hybrid) Estimated Start Date: ASAP W2 Contract What You’ll Do • Analyze and interpret complex data sets to derive actionable insights and inform decision-making. • Perform the statistical analysis on the feature transformation and business impact analytics • Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform. • Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally. W2 Contract Story Behind the Need – Team & Key Projects Team: Will work with Core Automation team’s Tech leads/managers closely Rebuild together with Engineer teams on our next generation risk platform (NGRP) You will be part of our pioneer working team to launch our NGRP Reason for Posting: Building a next generation risk platform. Enterprise supporting business function with is supporting all the business functions. have a tight timeline to meet decision engine adoption plan Chance for Extension: n/a – potential opportunity to convert to FTE, but no guarantees Daily Responsibilities Test and evaluation; Processing and governance, monitoring. Data analysis, decision engine serving 80+ checkpoint – lots of data sending through and we want to make sure all the rules within that checkpoint perform with a high quality and if something goes wrong, we need to do some analysis and automation. • Tasks will be distributed via our Jira board/sprint planning/grooming cycle. • Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers) • During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50. • Team work mostly within Jira board from tasks assignments and tracking. • Code would be in our centralized github repo. • Updates/documentation would be either in wiki page or our sharepoint/share drive. Compelling Story & Candidate Value Proposition • What makes this role interesting • Unique selling points You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation. You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to Client fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe. Candidate Requirements • Top 3 must-have hard skills (gather possible alternative skills & years) • Level or yrs. of experience with each skill • Stack-ranked by importance 1BigQuery, Python 2Understand the production systems architect and offline data overview 3Machine Learning experience Nice to Have: Risk and Fraud experience or business acumen; experience working directly with engineers Years of Experience: 6+ Degrees or Certifications: Masters preferred, solid BS is fine. W2 Contract About Cygnus Professionals, Inc. Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients. For further information about CYGNUS, please visit our website www.cygnuspro.com Cygnus Belief We believe in our commitment to diversity & inclusion. Equal Employment Opportunity Statement Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have work authorization.