Data Scientist

About the job

About Aedalsoft Aedalsoft is a software development company delivering scalable IT solutions across SaaS, PaaS, and custom software models. We work with global clients to build intelligent, data-driven platforms that enable predictive insights and smarter business decisions. Role Overview We are looking for a Data Scientist who can design, build, and deploy data-driven models to solve complex business problems. The role focuses on advanced analytics, machine learning, and transforming large datasets into predictive and actionable insights. Key Responsibilities • Collect, clean, and preprocess structured and unstructured data from multiple sources • Perform exploratory data analysis (EDA) to uncover trends, correlations, and patterns • Build, evaluate, and deploy machine learning and statistical models • Develop predictive and prescriptive analytics solutions for business use cases • Collaborate with product, engineering, and business teams to translate problems into data science solutions Required Skills & Qualifications • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) • Solid understanding of statistics, probability, and machine learning algorithms • Experience with data modeling, feature engineering, and model evaluation • Hands-on experience with SQL for data extraction and analysis • Familiarity with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn, etc.) Good to Have • Experience with deep learning frameworks (TensorFlow, PyTorch) • Exposure to big data tools (Spark, Hadoop) • Experience with cloud platforms (AWS, GCP, Azure) What We Offer • 100% remote work (India-based) • Flexible working hours • Opportunity to work on global, data-intensive projects

Requirements

• Data Science
• Machine Learning
• Python
• SQL
• Data Visualization

Preferred Technologies

• Data Science
• Machine Learning
• Python
• SQL
• Data Visualization

Benefits

• 100% remote work
• Flexible working hours

About the company

Aedalsoft is a software development company providing scalable IT solutions through SaaS, PaaS, and custom software models.