Position Overview

We are looking for a skilled and driven Data Scientist with 5-7 years of experience in data analysis and predictive modeling. The ideal candidate will have a strong technical foundation, analytical problem-solving skills, and the ability to translate complex data insights into actionable business strategies.

Key Responsibilities

 Analyze large and complex datasets to uncover meaningful patterns, trends, and

insights.

 Build, deploy, and validate predictive models, leveraging machine learning techniques and deep learning frameworks.

 Develop and implement Generative AI models to solve business challenges.

 Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization.

 Write efficient and scalable code in Python, R, and SQL to manage and manipulate

data.

 Collaborate with cross-functional teams to generate actionable insights that support business decision-making.

 Create clear and impactful data visualizations to communicate findings to both

technical and non-technical stakeholders.

 Continuously monitor and improve model performance using optimization

techniques.

 Stay up-to-date with advancements in data science, machine learning, and AI

technologies.

Required Skills And Qualifications

 Experience: 5-7 years of hands-on experience in data analysis, predictive modeling, and advanced analytics.

Technical Proficiency

• Strong programming skills in Python, R, and SQL.
• In-depth knowledge of machine learning techniques, deep learning frameworks, and Generative AI.
• Proficiency in data handling, pre-processing, exploratory data analysis (EDA), feature engineering (FE), and optimization techniques.
  
  

Analytical Skills

• Strong problem-solving abilities and attention to detail.
• Capability to derive actionable insights and present findings in a businessfriendly manner.
  
  

Communication: Excellent verbal and written communication skills to convey

complex technical concepts effectively.

 Tools & Technologies: Familiarity with data visualization tools (e.g., Tableau, Power

BI, Matplotlib, or Seaborn) is a plus.

Educational Background

 Bachelor's or Master's degree in Data Science, Computer Science, Statistics,

Mathematics, or a related field.

What We Offer

 A collaborative and innovative work environment.

 Opportunities to work on cutting-edge technologies, including Generative AI and

advanced machine learning techniques.

 Career growth and development opportunities through training and mentorship.

Skills: data analysis,machine learning,predictive modeling,data preprocessing,exploratory data analysis,r,sql,generative ai,data visualization,feature engineering,deep learning,python,eda