About Us:

Gini-Apps is proud to embark on a new project with one of our esteemed clients, focusing on leveraging historical financial data to forecast future revenue streams. Our team is committed to driving innovation in data science and analytics, delivering actionable insights to support strategic decision-making and drive business growth for our clients.

Position Overview:

We are seeking a skilled Data Scientist to join our team and develop a robust Financial Revenue Prediction Model tailored to our business needs.

The ideal candidate will have experience in statistical modeling, machine learning, and financial analysis.

Responsibilities:

• Develop and implement statistical models for financial revenue prediction.
• Apply machine learning algorithms, with a focus on regression and time series analysis.
• Clean and preprocess raw data, ensuring data quality and handling missing values.
• Utilize programming languages such as Python or R and relevant machine learning frameworks.
• Extract and manipulate data using SQL and database knowledge.
• Engineer features to enhance model performance.
  
  

Requirements:

Requirements:

• Bachelor's or Master's degree in Data Science, Statistics, or related field.
• Minimum 2 years of experience in statistical modeling and machine learning.
• Proficiency in Python, with experience in relevant libraries and frameworks.
• Understanding of financial concepts and key performance indicators.
  
  

Desired Skills:

• Ability to work independently and as part of a team.
• Excellent communication and collaboration skills.
• Problem-solving mindset and critical thinking abilities.
• Ability to work closely with business domain experts to translate requirements into code execution and demonstrate business value iteratively.