Data Scientist

Data ScientistWe 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.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 salaryHealth insuranceFlexible work arrangementsLearning and development opportunitiesPerformance-based incentivesPaid time off