[3 Days Left] Data Scientist

1 week ago


India CareerUS Solutions Full time

Job Description Job Summary: We are seeking a highly skilled and analytical Data Scientist to join our growing team. You will be responsible for extracting insights from large and complex datasets, building predictive models, and supporting data-driven decision-making across the organization. The ideal candidate is passionate about data, has strong statistical and programming skills, and is eager to apply machine learning techniques to real-world problems. Key Responsibilities: - Analyze large datasets to uncover trends, patterns, and insights that inform business decisions. - Design and build predictive models and machine learning algorithms. - Work closely with stakeholders to understand business challenges and translate them into data-driven solutions. - Develop dashboards, reports, and data visualizations to communicate findings clearly. - Validate models and conduct A/B testing to measure impact. - Collaborate with data engineers to deploy models into production environments. - Stay up-to-date with the latest data science tools, techniques, and best practices. Required Qualifications: - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. - Proven experience as a Data Scientist or similar role. - Strong programming skills in Python or R. - Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Solid understanding of statistical methods and data modeling techniques. - Proficiency in SQL and working with relational and non-relational databases. - Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. - Excellent problem-solving and communication skills. Preferred Qualifications: - Experience with big data tools (e.g., Spark, Hadoop). - Knowledge of cloud platforms (AWS, GCP, Azure). - Experience in natural language processing (NLP), time series forecasting, or deep learning. - Familiarity with data versioning and MLOps practices.


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