Job
Description
As an Associate level Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. We have 1 of positions open in these locations: Bangalore, Karnataka, India. The below requirements are a guideline. If you have transferable skills we encourage you to apply to this role. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 2+ Years of experience. Technical Skills : Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Strong knowledge of statistical techniques (e.g., regression, classification, hypothesis testing). Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn, Tableau). Experience working with databases and data storage systems (e.g., SQL, NoSQL). Problem-Solving: Ability to think critically and solve complex problems using data-driven approaches. Communication: Strong written and verbal communication skills to present technical concepts to non-technical stakeholders. Teamwork: Ability to work in a collaborative team environment and contribute to both individual and group projects. Detail-Oriented: High attention to detail and commitment to producing accurate and high-quality work. Preferred technical and professional experience Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for data science workflows. Knowledge of big data technologies (e.g., Hadoop, Spark). Experience with deep learning techniques.
