Data Science Specialist

Job Title: Data Scientist

Location: Hybrid - Melbourne

Duration: 2 month - Starting date ASAP

About Us:

Maltem Australia is a global boutique data and analytics consulting firm specializing in designing and delivering modern data stacks and advanced analytics solutions. With a strong expertise in building robust data architectures and leveraging cutting-edge technologies, we empower organizations to harness the full potential of their data.

Our comprehensive services include data engineering, data integration, cloud infrastructure setup, and advanced analytics capabilities. By implementing scalable and efficient data solutions, we enable our clients to derive meaningful insights, make data-driven decisions, and gain a competitive advantage.

Join us and be part of a dynamic team of Maltemians dedicated to driving innovation and excellence in data and analytics solutions.

Key Responsibilities:

• Assist in data collection, cleaning, and preprocessing to ensure data integrity.
• Conduct exploratory data analysis (EDA) to uncover insights and trends.
• Build, test, and validate machine learning models under the guidance of senior data scientists.
• Create visualizations and dashboards to communicate findings effectively.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Document processes and share insights with stakeholders.

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• Basic understanding of machine learning algorithms and statistical techniques.
• Proficiency in programming languages such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn, Power BI).
• Experience with SQL for data querying.
• Strong problem-solving skills and attention to detail.
• Ability to work in a fast-paced environment with tight deadlines.

Preferred Qualifications:

• Prior experience with data science projects, internships, or coursework.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) is a plus.

What We Offer:

• Hands-on experience in real-world data science projects.
• Opportunity to work with a diverse and talented team.