Data Scientist

Role Overview

We are seeking a highly analytical and innovative.

Data Scientist to transform complex data into actionable business insights. The ideal candidate will leverage advanced analytics, statistical modelling, machine learning, and data visualization techniques to solve business problems, improve decision-making, and drive data-driven strategies across the organization.

Key Responsibilities

• Analyze large, structured, and unstructured datasets to identify trends, patterns, and business opportunities.
• Develop, train, validate, and deploy machine learning and predictive models.
• Perform statistical analysis, hypothesis testing, and data mining to solve business challenges.
• Partner with business stakeholders, product teams, and technology teams to define analytical requirements and success metrics.
• Design and implement data science solutions that support forecasting, optimization, customer analytics, and risk assessment.
• Build dashboards, visualizations, and reports to communicate insights effectively to technical and non-technical audiences.
• Monitor model performance and continuously refine algorithms to improve accuracy and business value.
• Ensure data quality, governance, and compliance with organizational standards.
• Stay updated with emerging trends and advancements in AI, Machine Learning, and Data Science.

Required Skills & Experience

• Strong experience in.Data Science, Machine Learning, and Advanced Analytics
• Proficiency in Python or R and data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Strong knowledge of. Statistics, Probability, Predictive Modeling, and Feature Engineering
• Experience with SQL and working with large-scale datasets.
• Hands-on experience with cloud platforms such as.AWS, Azure, or GCP
• Experience in data visualization tools such as.Power BI, Tableau, or Looker.
• Understanding of MLOps practices, model deployment, and monitoring.
• Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

• Master's or Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Experience with Generative AI, NLP, Deep Learning, or LLM-based solutions.
• Knowledge of big data technologies such as Spark, Databricks, or Hadoop.
• Relevant certifications in Data Science, AI, or Cloud technologies are advantageous.