Data Scientist (Entry-Level)

About This Role

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints. Why Hiring is setting the benchmark in both permanent and contract recruitment for Tech clients.

We’re looking for a data scientist his/her crucial role will assist in fulfilling our client's analytics and inference requirements, enabling the company to expand and further invest in advancing the product's future.

Responsibilities for this position involve:

Working alongside engineers and the Data Science lead to ensure a dependable and orderly data flow into the data warehouse, crafting significant business insights from this data.

Collaborating with Data Science leads to innovative data-centric product functionalities, such as the company's universal catalog, and contributes to the development of suggested product and vendor selections.

Delivering uniquely valuable insights to customers through dashboards, reports, and recommendations.

Providing feedback on metrics to the product and engineering departments to optimize the value customers derive from the features we introduce.

Your Achievements:

Over 2 years of experience in roles centered around analytics, with a preference for prior involvement in data science teams.

Tech Stack Proficiency

Proficient in Python, SQL, and BI Tooling; additional expertise in Azure, AWS, GCP, and Docker is advantageous.

Proven Track Record

Demonstrated ability to swiftly execute projects and iterate effectively.

Collaborative Skills

Ability to empathize while collaborating with internal cross-functional stakeholders and in client-facing endeavors.

Data Quality Enhancement

History of elevating real-world business and usage data quality to generate dependable insights.

Communication and Precision

Skill in translating non-technical requests into accurate terms.

Data Management Proficiency

Understanding of managing intricate and diverse data sources, unifying them effectively.