Data Scientist

Position Overview

We are seeking a talented and motivated Data Scientist with 5-7 years of experience in data analysis and predictive modeling. The ideal candidate will possess a strong technical background, excellent analytical problem-solving skills, and the ability to transform complex data insights into actionable business strategies.

Key Responsibilities

Analyze large and complex datasets to identify meaningful patterns, trends, and insights.

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

Develop and implement Generative AI models to address 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 for data management and manipulation.

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 current 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, preprocessing, 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 business-friendly 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.

If you are passionate about leveraging data to drive impactful business decisions and have a strong technical background, we would love to hear from you!

Email: josna.stephen@arttechgroup.com