Data Scientist

Hi #connections, We have a Job Opening for, Role: Data Scientist Locations-----Remote 🔗 Interested Candidate Kindly share the suitable resume to ram.r@vysystems.com & https://www.linkedin.com/in/ramkumarjhen/ This job posting is for an existing, active vacancy and we are looking to hire a strong QA Automation resource. Summary: "Overall, a successful candidate for this role must be able to clearly articulate data science concepts to stakeholders who may not be highly technical. For this position, the client is hiring a data scientist who has the ability to break down problems and propose thoughtful approaches to supporting frequent-flyer customer growth is critical. The role also requires the ability to think on one’s feet when presented with scenarios involving specific datasets." Data Wrangling & Preparation Clean, normalize, and QA complex datasets (ex: credit card transaction files) Build reproducible data pipelines and queries Use of LLM’s to clean and standardize credit card transaction data Analytics & Insights Conduct exploratory data analysis to surface trends and opportunities across member segments, tiers, earning patterns, benefit usage, etc. Develop clear, actionable insights to support marketing and cobrand decisions. Support ad-hoc analyses, including member behaviour, spend behaviour, and partner activity Develop interactive, user-friendly analytical applications using Snowflake Cortex + Streamlit in Snowflake. Nice to have: Ability to build scalable, production-ready ML workflows in Snowflake (Snowpark, ML Functions, Feature Store), including end-to-end pipeline development encompassing data preparation, feature engineering, model training, testing, deployment, evaluation, and ongoing monitoring. Dashboarding & Reporting Design and build dashboards (Tableau) that provide intuitive visibility into KPIs, member engagement, and program performance. Refresh and maintain reporting assets, and improve existing dashboards as needed. Qualifications Strong SQL and intermediate python skills Experience building dashboards using Tableau Experience using LLM’s for data manipulation is a nice to have, however a drive to learn quickly is a must have Experience building analytical applications using Snowflake Streamlit is a nice to have Demonstrated ability to clean and work with messy datasets (credit card data, transactional records, etc.). Ability to support model development such as Customer Lifetime Value, Member Segmentation, etc. is a nice to have Tech requirements: Snowflake, SQL, Python, Tableau Strong communication skills with the ability to translate analytics into business insights. Thanks & Regards., Ramkumar.R || Sr.Technical Recruiter Email: ram.r@vysystems.com Linkedin ID: https://www.linkedin.com/in/ramkumarjhen/ 4701 Patrick Henry Drive Building 16 Santa Clara CA 95054, USA.