Data Scientist Gen AI- Offshore

As a Data Scientist with 6-9 years of experience, you will play a crucial role in extracting insights from complex data sets, driving data-informed decision-making, and contributing to the development of innovative solutions that enhance products and services. Your analytical skills and technical expertise will be key in this dynamic team. Key Responsibilities: - Analyze large and complex data sets to identify trends, patterns, and actionable insights. - Develop and implement predictive models and machine learning algorithms to solve business problems. - Collaborate with cross-functional teams to define data requirements and metrics. - Communicate findings and insights effectively to both technical and non-technical audiences through visualizations, reports, and presentations. - Conduct experiments and A/B testing to evaluate the impact of changes and inform strategic decisions. - Stay current with industry trends, technologies, and best practices in data science and analytics. - Mentor junior data scientists and contribute to a culture of continuous learning and improvement. Qualifications: - Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - 6-9 years of experience in a data science role, with a strong portfolio of projects. - Proficiency in programming languages such as Python, and experience with data manipulation libraries (e.g., Pandas, NumPy). - Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Strong understanding of statistical methods and their applications. - Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). - Familiarity with SQL and relational databases for data extraction and manipulation. - Excellent problem-solving skills and attention to detail. - Strong communication and interpersonal skills. Preferred Qualifications: - Experience with big data technologies (e.g., Hadoop, Spark) is a plus. - Knowledge of cloud platforms (AWS) for data storage and processing. - Experience in a specific domain (e.g., finance, healthcare, e-commerce) relevant to the business. As a Data Scientist with 6-9 years of experience, you will play a crucial role in extracting insights from complex data sets, driving data-informed decision-making, and contributing to the development of innovative solutions that enhance products and services. Your analytical skills and technical expertise will be key in this dynamic team. Key Responsibilities: - Analyze large and complex data sets to identify trends, patterns, and actionable insights. - Develop and implement predictive models and machine learning algorithms to solve business problems. - Collaborate with cross-functional teams to define data requirements and metrics. - Communicate findings and insights effectively to both technical and non-technical audiences through visualizations, reports, and presentations. - Conduct experiments and A/B testing to evaluate the impact of changes and inform strategic decisions. - Stay current with industry trends, technologies, and best practices in data science and analytics. - Mentor junior data scientists and contribute to a culture of continuous learning and improvement. Qualifications: - Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - 6-9 years of experience in a data science role, with a strong portfolio of projects. - Proficiency in programming languages such as Python, and experience with data manipulation libraries (e.g., Pandas, NumPy). - Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Strong understanding of statistical methods and their applications. - Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). - Familiarity with SQL and relational databases for data extraction and manipulation. - Excellent problem-solving skills and attention to detail. - Strong communication and interpersonal skills. Preferred Qualifications: - Experience with big data technologies (e.g., Hadoop, Spark) is a plus. - Knowledge of cloud platforms (AWS) for data storage and processing. - Experience in a specific domain (e.g., finance, healthcare, e-commerce) relevant to the business.