Data Scientist

About the Role

AXONS — Data Scientist. Onsite. Full-time.

Responsibilities

• Collaborate with the Business Intelligence team to identify and integrate valuable data sources while automating data collection and preprocessing workflows.
• Perform in-depth exploratory data analysis (EDA) and statistical evaluations on large datasets to uncover trends, patterns, and actionable insights that support data-driven decision-making.
• Design and implement predictive models to address key business challenges in business empowering stakeholders with accurate forecasts and actionable recommendations.
• Develop and apply advanced machine learning and deep learning models, including solutions leveraging ML, Computer Vision (CV), Natural Language Processing (NLP) and Constraint optimization (CP).
• Work closely with stakeholders to propose innovative, data-driven approaches for improving operational processes and addressing complex business questions.
• Conduct research on emerging data science techniques and advancements in business analytics to refine and improve methodologies.
• Collaborate with machine learning engineers and product teams to deploy and refine AI-driven solutions.
• Create impactful data visualizations in collaboration with the Business Intelligence team to effectively communicate findings and insights.

Qualifications

• At least 2 years of professional experience in data science or related fields.
• Holding a bachelor's, master's, or Ph.D. in Computer Science, Engineering, Data Science, Mathematics, or equivalent experience through industry roles, self-learning, or data science boot camps.
• Strong understanding and hands-on experience in the end-to-end data science process, including data cleaning, model development (machine learning or deep learning), validation, and performance testing.
• Strong analytical, problem solving, communication and interpersonal skills.
• Good command in English.
• Strong coding skills and familiarity with relevant programming languages and tools (Python, SQL).
• Adaptable and eager to learn new tools or technologies as needed.
• Experience in following industries is a plus: animal farming and aquaculture, food manufacturing, fresh food supply chain and logistics, fresh food sales and distribution.