Entry-Level Data Scientist (AI/ML)
Employment Type: Full-Time
Relocation: Candidate must be open to relocate
Job Summary
We are seeking a motivated Entry-Level Data Scientist (AI/ML) to join our growing data team. In this role, you will assist in collecting, analyzing, and interpreting large datasets while supporting the development of machine learning and artificial intelligence solutions. You will collaborate with senior data scientists and engineers to build predictive models, automate workflows, and deliver data-driven insights that support business objectives.
Key Responsibilities
Collect, clean, and preprocess structured and unstructured data.
Analyze datasets to identify trends, patterns, and actionable insights.
Assist in developing, training, and evaluating machine learning models.
Support AI initiatives, including predictive analytics and model optimization.
Create reports, dashboards, and visualizations to communicate findings.
Work with SQL databases to extract and manipulate data.
Collaborate with data engineers to maintain reliable data pipelines.
Perform statistical analysis and hypothesis testing.
Assist in deploying machine learning models into production environments.
Document methodologies, model performance, and project outcomes.
Stay up to date with emerging AI, machine learning, and data science technologies.
Collaborate with cross-functional teams to solve business problems using data.
Required Qualifications
Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Information Technology, or a related field.
Basic understanding of machine learning algorithms and statistical concepts.
Knowledge of Python, SQL, and data analysis libraries.
Familiarity with data visualization tools such as Power BI or Tableau.
Understanding of supervised and unsupervised learning techniques.
Basic knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) is a plus.
Strong analytical, problem-solving, and communication skills.
Ability to work independently and collaboratively in a team environment.
