Junior Data Scientist

Giorgi Global Holdings, Inc. (“GGH”) is a privately held, diversified consumer products/packaging company with approximately 11,000 employees and operations in 20 countries. GGH consists of four US based companies (The Giorgi Companies) and one global packaging company (CANPACK).

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

- Office - AWFIS in Pimple Saudagar

- Current Flexible Office Policy - 3days/week; 2 days remote

- Typical Working Hours- 12:30PM- 9:30PM (Operational on call availability subject to incidents/priorities.)

Travel – subject to key projects, usually less than 2 weeks