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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.
In this role as a Junior Data Scientist, you’ll collaborate with data experts and various teams across the organization to explore data, create predictive models, and uncover insights that shape key business strategies.
Key Responsibilities:
- Develop, configure, and test informatics and data science solutions for diverse technical applications, while providing ongoing support.
- Utilize analytical techniques to diagnose data-related issues, implement effective solutions, and evaluate outcomes.
- Prepare and present comprehensive documentation, design alternatives, and findings to team members and clients.
- Develop strategic data modeling processes, with an emphasis on accurately identifying cause-and-effect relationships.
- Work with tools for data integration, visualization, mining, and analysis, while ensuring compatibility across integrated development environments.
- Manage and enhance shared libraries and tools used across multiple teams.
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Qualifications:
- Bachelor’s degree with 1-3 years of experience, or a Master’s degree with similar experience.
- Proficiency in machine learning (ML) areas such as natural language processing, computer vision, and statistical learning theory.
- Proven experience in an ML engineering or data scientist role, building and optimizing ML models.
- Strong coding skills in Python, R, Scala, Java, or C++.
- Experience working with large-scale datasets, uncovering hidden patterns, using data visualization tools, writing SQL, and leveraging GPUs for model development.
- Skilled in communicating technical concepts to a variety of audiences, including business, technical, and non-technical stakeholders, with experience delivering data-driven presentations.
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Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
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