We are seeking a highly analytical and detail-oriented Data Scientist to analyze complex datasets, build predictive models, and generate actionable insights that support business decisions. The ideal candidate will have strong statistical knowledge, programming skills, and experience working with large datasets.

You will work closely with engineering, product, and business teams to transform data into strategic value.

🎯 Key Responsibilities

• Collect, clean, and analyze large datasets
• Develop predictive and statistical models
• Perform data visualization and reporting
• Identify trends, patterns, and insights
• Build machine learning models when required
• Collaborate with cross-functional teams
• Support data-driven decision-making
• Design experiments and A/B testing
• Present findings to stakeholders
• Improve data quality and processes

🛠 Required Skills & Qualifications

Technical Skills:

• Strong proficiency in Python or R
• Experience with data libraries:
  • Pandas
  • NumPy
  • Matplotlib / Seaborn
• Knowledge of:
  • Statistics and probability
  • Hypothesis testing
  • Regression analysis
  • Data modeling
• Experience with SQL for data extraction
• Familiarity with:
  • Machine Learning basics
  • Data visualization tools
• Experience with BI tools (Power BI / Tableau) is a plus
• Understanding of data cleaning and preprocessing

🎓 Education:

• Bachelor’s or Master’s degree in:
  • Data Science
  • Computer Science
  • Statistics
  • Mathematics
  • Economics
  • Or related field

Advanced degrees are preferred.

⭐ Preferred Qualifications

• Experience with Big Data tools (Spark, Hadoop)
• Experience with cloud platforms (AWS / Azure / GCP)
• Knowledge of MLOps concepts
• Experience in business analytics
• Experience with real-world production data

💡 Soft Skills

• Strong analytical thinking
• Problem-solving mindset
• Attention to detail
• Good communication skills
• Ability to explain technical insights to non-technical stakeholders
• Team collaboration skills

🚀 What We Offer

• Competitive salary package
• Growth opportunities in analytics & AI
• Flexible work environment
• Innovative projects
• Professional development support
• Performance-based incentives

📌 How to Apply

Interested candidates should submit:

• Updated CV/Resume
• Portfolio or project examples (if available)
• GitHub link (if applicable)
• Brief summary of relevant experience