Data Scientist

We are seeking a motivated Data Scientist to analyze complex datasets, build predictive models, and generate actionable insights that support business decisions. The ideal candidate has a strong foundation in statistics, machine learning, data analysis, and programming, with the ability to translate data into meaningful business outcomes., * Collect, clean, and analyze structured and unstructured data from multiple sources.

• Develop, train, evaluate, and deploy machine learning models.
• Perform exploratory data analysis (EDA) and identify trends, patterns, and anomalies.
• Build predictive and statistical models to solve business problems.
• Create dashboards, reports, and visualizations to communicate insights.
• Collaborate with data engineers, software developers, product managers, and business stakeholders.
• Optimize model performance and monitor production models.
• Conduct A/B testing and statistical analysis to measure business impact.
• Document methodologies, experiments, and model performance.
• Stay updated with advancements in AI, machine learning, and data science.

• Strong proficiency in Python or R for data analysis and machine learning.
• Experience with SQL and database querying.
• Knowledge of machine learning algorithms, statistical modeling, and predictive analytics.
• Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Familiarity with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
• Understanding of feature engineering, model evaluation, and model deployment.
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud) is an advantage.
• Familiarity with Git and version control., * Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 2 5 years of experience in data science, machine learning, or analytics (depending on the role level).
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication and presentation abilities.

Preferred Qualifications

• Experience with MLOps tools and model deployment pipelines.
• Knowledge of big data technologies such as Spark or Hadoop.
• Familiarity with NLP, computer vision, recommendation systems, or time-series forecasting.
• Experience working in Agile/Scrum environments.
• Contributions to open-source projects, research publications, or data science competitions are a plus.

• Competitive salary
• Health insurance
• Flexible work arrangements
• Learning and development opportunities
• Performance-based incentives
• Paid time off