Junior Data Scientist

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 currently partnering with a fast-growing, data-driven company operating at scale, and they are looking for a Machine Learning Engineer to join their team.

In this role, you will:

• Analyze structured and unstructured datasets to uncover trends and insights

• Assist in building, testing, and validating machine learning models

• Perform data cleaning, preprocessing, and exploratory data analysis

• Collaborate with data scientists, engineers, and product teams

• Support the development of dashboards and data visualizations

• Contribute to data-driven decision-making across business functions

From early-stage analysis to model support, contributions will help improve product performance and user experience at scale.

Key responsibilities include:

• Assisting in the development and deployment of predictive models

• Working with data pipelines to collect, transform, and manage data

• Supporting data architecture and ensuring data accessibility

• Documenting workflows, methodologies, and results

• Monitoring model performance and identifying improvement opportunities

• Translating business questions into analytical solutions

This position might suit you if you have:

• A strong foundation in mathematics, statistics, or a related field

• Familiarity with Python and SQL for data analysis

• Understanding of basic machine learning concepts and techniques

• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib

• Knowledge of data preprocessing and exploratory analysis

• Strong problem-solving skills and attention to detail

• Ability to communicate findings clearly to both technical and non-technical audiences

• Interest in working in a remote, collaborative environment

Nice to have:

• Exposure to cloud platforms such as AWS, GCP, or Azure

• Experience with version control tools like Git

• Familiarity with data engineering concepts or big data tools

What is offered:

• A flexible remote work environment across the USA

• Opportunities for professional growth

• A collaborative and supportive team culture

• Access to learning resources and skill development programs

• Competitive compensation and benefits package

This role offers the chance to build foundational experience in data science while contributing to meaningful, data-driven solutions in a growing organization.