Data Scientist
Responsibilities:
Analyze and interpret structured and unstructured data to uncover insights.
Utilize data exploration techniques and tools such as Pandas, NumPy, and SQL.
Collaborate with stakeholders to define key performance indicators (KPIs) and business metrics.
Develop, train, and evaluate machine learning models to solve business challenges.
Work with frameworks like Scikit-learn, TensorFlow, or PyTorch.
Optimize models through hyperparameter tuning and feature engineering.
Perform data cleaning, transformation, and feature extraction to prepare datasets for modeling.
Work closely with Data Engineers to ensure data availability and quality.
Assist in deploying models to production environments on cloud platforms such as GCP.
Monitor model performance and suggest improvements based on real-world data.
Work cross-functionally with business teams, product managers, and engineers to deliver data-driven solutions.
Present findings and recommendations to both technical and non-technical audiences.
Stay updated with the latest trends in AI and Data Science.
Participate in internal knowledge-sharing sessions and contribute to team development.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
2-3 years of experience in Data Science, Machine Learning, or related roles.
Proficiency in Python (e.g., Pandas, NumPy, Scikit-learn)
Experience with SQL and NoSQL databases (e.g., BigQuery, MongoDB).
Familiarity with cloud platforms such as Google Cloud Platform (GCP).
Knowledge of version control systems such as Git.
Strong analytical, problem-solving, and communication skills.
Experience in A/B testing and statistical analysis is a plus.
Understanding of basic MLOps practices and model deployment is an advantage.
Experience with BI tools such as Looker Studio or Power BI.
Knowledge of Agile methodologies.
Exposure to NLP, Computer Vision, or Time Series Analysis.
Hands-on experience with containerization tools like Docker.
Full-time
12 active jobs
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