Why Hiring

2 Jobs

8 Employees

About the Company

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Listed Jobs

Company Name: Why Hiring
Job Title: Junior Data Scientist
Job Description: Job title: Junior Data Scientist Role Summary: A data‑driven professional responsible for developing and testing predictive models, diagnosing data challenges, and translating insights into actionable business strategies. Works collaboratively with cross‑functional teams to design, implement, and support analytics solutions across the organization. Expectations: Apply machine learning techniques to large‑scale datasets, build and optimize models, and communicate findings effectively to technical and non‑technical stakeholders. Deliver documentation, design alternatives, and data‑driven recommendations that influence strategic decisions. Key Responsibilities: - Develop, configure, and test data science solutions for diverse technical applications. - Diagnose data‑related issues, implement solutions, and evaluate outcomes using analytical techniques. - Prepare and present documentation, design alternatives, and insights to team members and clients. - Design data modeling processes, identify cause‑and‑effect relationships, and ensure model accuracy. - Utilize data integration, visualization, mining, and analysis tools for end‑to‑end workflow. - Maintain and enhance shared libraries and tools used by multiple teams. Required Skills: - Proficiency in machine learning (NLP, computer vision, statistical learning). - Strong coding in Python, R, Scala, Java, or C++. - Experience building, scaling, and optimizing ML models, including GPU usage. - Advanced SQL skills and data manipulation on large-scale datasets. - Expertise in data visualization and exploration tools. - Excellent written and verbal communication for diverse audiences. Required Education & Certifications: - Bachelor’s degree (1–3 years experience) or Master’s degree in Computer Science, Statistics, Data Science, or related field.

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.