Why Hiring

1 Job

8 Employees

About the Company

Welcome to Why Hiring: Redefining Remote Careers!

At Why Hiring, we believe in careers without boundaries. Explore diverse remote job opportunities tailored to your skills and lifestyle. We're more than a job board; we're a community shaping the future of work. Join us in connecting talent with global possibilities.

Your Next Adventure Awaits - Work from Anywhere!

Ready to break free from traditional constraints? Discover amazing job opportunities and embrace the freedom of remote work with Why Hiring.

Listed Jobs

Company Name: Why Hiring
Job Title: Data Scientist (Entry-Level)
Job Description: **Job Title:** Data Scientist (Entry‑Level) **Role Summary:** Assist clients in fulfilling analytics and inference needs by ensuring reliable data pipelines, developing data‑centric product features, and delivering actionable insights through dashboards and reports. **Expectations:** • Minimum 2 years of analytics or data‑science related experience (preferably with a team). • Proven ability to execute projects quickly, iterate efficiently, and collaborate across engineering, product, and client teams. • Strong communication skills to translate non‑technical requests into clear, data‑driven insights. **Key Responsibilities:** 1. Coordinate with engineers and the Data Science Lead to maintain clean, dependable data flow into the data warehouse. 2. Co‑create data‑centric product functionalities (e.g., universal catalog, recommendation engines). 3. Build and maintain dashboards, reports, and recommendations that deliver unique value to customers. 4. Provide metric feedback to product and engineering to optimize feature value. 5. Improve data quality, integrate diverse data sources, and produce dependable insights. **Required Skills:** • Programming: Python, SQL. • Business Intelligence: Tableau, Power BI, Looker or equivalent. • Cloud: Azure, AWS, GCP (basic familiarity preferred). • Containerization: Docker (optional). • Data pipeline management and ETL best practices. • Cross‑functional collaboration and client communication. • Data quality assessment and enhancement. **Required Education & Certifications:** Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Industry certifications (e.g., Certified Data Scientist, Microsoft Azure Data Scientist Associate) are a plus but not mandatory.