Why Hiring

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.

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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

Junior Data Scientist

Job Description

**Job Title:** Junior Data Scientist **Role Summary:** Collaborate with cross-functional teams to develop data science solutions, build predictive models, and analyze data to drive business strategies. **Expectations:** - Bachelor’s or Master’s degree in relevant field with 1–3 years’ experience in data science/engineering roles. **Key Responsibilities:** - Develop, configure, and test data science solutions for technical applications. - Diagnose data issues, implement solutions, and evaluate outcomes using analytical techniques. - Create documentation, present findings, and design alternatives to stakeholders. - Build strategic data models emphasizing cause-and-effect analysis. - Integrate tools for data visualization, analysis, and mining across development environments. - Optimize shared tools/libraries for multi-team use. **Required Skills:** - Machine learning proficiency (natural language processing, statistical learning, computer vision). - Coding expertise in Python, R, Scala, Java, or C++. - Experience with SQL, data visualization tools, GPU-driven model development. - Ability to analyze large datasets and identify patterns. - Effective communication of technical insights to diverse audiences. **Required Education & Certifications:** - Bachelor’s or Master’s degree in quantitative or technical discipline. - Proven experience in ML model design/optimization.

California, United states

Remote

Junior

29-09-2025

Company Name

Why Hiring

Job Title

Data Scientist (Entry-Level)

Job Description

**Job Title:** Entry‑Level Data Scientist **Role Summary:** Support client analytics and inference needs by ensuring reliable data pipelines, generating business insights, and contributing to data‑driven product features. Collaborate with engineering, data science leadership, and cross‑functional teams to deliver actionable dashboards, reports, and recommendations. **Expectations:** - Minimum 2 years of experience in analytics or data‑science‑related roles. - Ability to work quickly, iterate on solutions, and meet project deadlines. - Strong collaborative and communication skills for internal and client‑facing interactions. **Key Responsibilities:** - Work with engineers and the Data Science Lead to maintain orderly data flow into the data warehouse. - Transform raw data into meaningful business insights and visualizations. - Co‑develop data‑centric product functionalities (e.g., universal catalog, product/vendor suggestions). - Create and maintain dashboards, reports, and recommendation outputs for customers. - Provide metric feedback to product and engineering teams to enhance feature value. - Improve data quality and ensure reliability of insights across diverse data sources. **Required Skills:** - Proficient in Python and SQL. - Experience with BI tools (e.g., Tableau, Power BI, Looker). - Familiarity with cloud platforms (Azure, AWS, GCP) and containerization (Docker) – preferred. - Ability to translate non‑technical requirements into precise analytical solutions. - Strong problem‑solving, rapid prototyping, and iterative development capabilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. - Relevant certifications (e.g., Microsoft Azure Data Scientist, AWS Certified Data Analytics, Google Cloud Professional Data Engineer) are a plus but not mandatory.

Texas, United states

Remote

Junior

29-09-2025

Company Name

Why Hiring

Job Title

Data Scientist (Analyst)

Job Description

Job Title: Data Scientist (Analyst) Role Summary: Develop, prototype, and deploy deep learning and machine learning solutions in Python and R, collaborating with cross‑functional teams to solve high‑impact data problems. Expactations: Deliver scalable models, communicate insights to technical and non‑technical stakeholders, and contribute to continuous improvement of analytics processes. Key Responsibilities: - Design and prototype ML/AI models for targeting and personalization. - Extract, clean, and analyze large structured or unstructured datasets. - Work with engineers to operationalize solutions at scale. - Present findings and actionable insights to scientific, business, and stakeholder audiences. - Participate in team sprints, code reviews, and knowledge sharing. Required Skills: - Python, R, SQL, and open‑source ML libraries (e.g., scikit‑learn, TensorFlow, PyTorch). - Data engineering fundamentals: data warehousing, ETL, and handling large datasets. - Strong analytical and problem‑solving abilities. - Excellent presentation and communication skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, or equivalent. - Minimum of 1 year experience in analytics, data warehousing, or software engineering. - 1+ year experience with Python or R for data science tasks.

New york, United states

Remote

Fresher

29-09-2025

Company Name

Why Hiring

Job Title

Associate Data Scientist

Job Description

**Job Title** Associate Data Scientist **Role Summary** Remote junior‑level data scientist focused on Natural Language Processing and data pipeline management. Deliver actionable insights on user conversion, retention, and engagement, collaborating with product, engineering, and operations teams to influence business decisions. **Expectations** - Own the end‑to‑end data science lifecycle. - Transform complex data into clear, impact‑driven recommendations. - Operate effectively in ambiguous, fast‑moving environments. **Key Responsibilities** - Perform exploratory data analysis to uncover drivers of key user metrics. - Extract, transform, load, analyze, and model data; deploy models into production. - Apply advanced NLP techniques to unstructured content. - Build and maintain dashboards in Tableau and Amplitude for product and business monitoring. - Translate analytical findings into concise, non‑technical communication for stakeholders. **Required Skills** - SQL for database querying and management. - Python for data preparation, analysis, and model development. - Fundamentals of data mining, statistical modeling, and machine learning. - Experience building and managing Airflow pipelines on GCP. - Proficiency with Tableau and Amplitude for data visualization. - Strong analytical and problem‑solving abilities. **Required Education & Certifications** - Bachelor’s degree (or equivalent) in Computer Science, Data Science, Statistics, or related field. *(Preferred: experience in travel/hospitality and revenue‑management models.)*

Canada

Remote

17-11-2025