Junior Data Scientist

GGH has embarked on a transformation journey to become a digital, technology enabled, customer-centric, data and insights-driven organization. This transformation is evolving our business, strategy, core operations and IT solutions.

About the Role

• As a member of the Data Science & Analytics Engagement Team your will have the following responsibilities: 

• Bridge Between Business Users and D&A Team

• Engage with business users to understand their requirements and help them with new or existing data solutions that fulfill their needs.

• Act as a representative of the D&A team, fostering strong relationships and ensuring clear communication between business users and the technical team. 

• Increase Adoption of Data Solutions

• Promote awareness and usage of existing data solutions among business users.

• Engage with users to gather feedback and identify opportunities for improving data solutions.

• Develop strategies to increase the adoption and effective utilization of data tools and resources within the organization.

Advanced Analytics and Innovation

• Utilize advanced analytics methods to derive valuable insights from organizational data.

• Apply statistical methods and machine learning techniques to uncover meaningful patterns and trends.

• Drive innovation by developing prototype solutions and demonstrating their potential value to the organization.

What you'll do:

• Gain a comprehensive understanding of the business operations and the data landscape to effectively align data solutions with business needs.

• Familiarize with all existing data solutions.

• Act as a representative of the Data and Analytics team to business users, fostering strong relationships and ensuring clear communication.

• Engage with business users to gather their needs and feedback on data solutions, ensuring their requirements are met and any issues are promptly addressed.

• Manage requests from users for new data solutions or changes to existing ones, collaborating with the Data Delivery team to ensure best possible solution for the users.

• Develop prototype solutions for users when applicable, demonstrating the potential value and feasibility of new data initiatives.

• Help in adoption of data solutions within the organization, ensuring that users are aware of and effectively utilizing the available tools and resources.

• Analyze organizational data to uncover valuable insights that can inform business decisions and strategies.

• Apply statistical methods and machine learning techniques to extract meaningful patterns and trends from data, driving innovation and value creation.

Desired Skills, Knowledge, and Experience:

• Bachelor’s or master’s degree in information technology, Computer Science, or a related field.

• 3-5 years of relevant experience

• Proficiency in data analysis tools and languages such as SQL, Python, R, and data visualization tools like Tableau or Power BI. Preferably PowerBI.

• Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn) and statistical analysis.

• Familiarity with data warehousing solutions and ETL (Extract, Transform, Load) processes.

• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Preferably Azure Data Solutions.

• Ability to align data solutions with business needs.

• Experience in translating business requirements into technical specifications and data solutions.

Good to Have:

• Strong analytical skills to interpret complex data sets and extract meaningful insights.

• Ability to identify patterns, trends, and anomalies in data to solve business problems.

• Excellent communication skills to present findings and insights effectively to both technical and non-technical stakeholders.

• Ability to work well in a team environment and collaborate with cross-functional teams.

• A strong desire to stay updated with the latest trends and advancements in data science, machine learning, and AI.

Work Timing & Location

• Hybrid work from our Plant in Tocancipa (flexible arrangement)

• Flexible working hours

• Travel – subject to key projects, usually up to 2 weeks