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.