Data Scientist

We are seeking a Data Scientist to analyze large, complex datasets and turn data into actionable insights. The ideal candidate has strong analytical skills, experience with statistical modeling and machine learning, and the ability to communicate findings clearly to both technical and non-technical stakeholders.

Key Responsibilities

• Collect, clean, and preprocess structured and unstructured data from multiple sources

• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies

• Build, evaluate, and deploy statistical models and machine learning algorithms

• Develop predictive and prescriptive analytics solutions

• Collaborate with product, engineering, and business teams to define data-driven solutions

• Design and maintain dashboards and reports for key business metrics

• Present insights and recommendations to stakeholders

• Ensure data quality, integrity, and governance best practices

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

• Strong proficiency in Python or R

• Experience with SQL and relational databases

• Solid understanding of statistics, probability, and hypothesis testing

• Hands-on experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)

• Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)

Preferred Qualifications

• Experience working with big data technologies (e.g., Spark, Hadoop)

• Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform)

• Knowledge of MLOps, model deployment, and monitoring

• Experience in a specific domain (e.g., finance, healthcare, e-commerce)