Data Scientist

• Collect, clean, and preprocess structured and unstructured data from multiple sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and business insights.
• Build, train, evaluate, and optimize machine learning models under the guidance of senior team members when required.
• Apply statistical techniques to analyze data and support business decision-making.
• Assist in developing predictive models and collaborate with engineering teams to support model deployment.
• Work closely with business stakeholders, product managers, and data engineers to understand requirements and translate them into analytical solutions.
• Create dashboards, reports, and visualizations to effectively communicate findings and recommendations.
• Monitor model performance, identify potential improvements, and support model maintenance activities.
• Assist in designing and analyzing A/B tests and other statistical experiments.
• Write efficient, maintainable, and well-documented Python and SQL code for data processing and analysis.
• Document methodologies, experiments, and model outcomes to support knowledge sharing and reproducibility.
• Stay up to date with emerging trends and best practices in Data Science, Machine Learning, and Artificial Intelligence.

We are seeking a motivated and analytical Data Scientist with experience in developing data-driven solutions. The ideal candidate will have a solid foundation in statistics, machine learning, data analysis, and programming, with the ability to derive actionable insights from data and contribute to building predictive models that address business challenges., * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

• 2+ years of hands-on experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong proficiency in Python and SQL.
• Experience with data manipulation and analysis libraries such as Pandas and NumPy.
• Hands-on experience with machine learning libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Good understanding of statistics, probability, hypothesis testing, and model evaluation techniques.
• Experience creating visualizations using Power BI, Tableau, Matplotlib, or Seaborn.
• Familiarity with relational databases such as MySQL or PostgreSQL; basic knowledge of NoSQL databases is a plus.
• Basic understanding of cloud platforms (AWS, Azure, or Google Cloud Platform) is desirable.
• Experience using Git or other version control systems.
• Strong analytical, problem-solving, communication, and collaboration skills.

Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Dental insurance
• Flexible schedule, * 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off