Data Scientist - R/Python/SQL

Payroll : SA Tech. Client : Inspera. Position : Data Scientist. Exp : 5-8 Years. Location : Bangalore [3 Days in SA Tech office]. Basic Qualifications : - Proficiency in programming languages such as Python, SQL, R etc. - Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. - 4-6 years of academic and relevant industry experience. - Proven experience as a Data Scientist with a strong portfolio of data science projects. - Experience in a specific industry (i.e., Edtech, finance,retail) is advantageous. - Experience with data manipulation and analysis libraries (i.e., Pandas, NumPy, Scikit-learn). - Familiarity with big data technologies (i.e., Hadoop, Spark) is a plus. - Knowledge of data visualization tools (i.e., Matplotlib, Seaborn, D3.js). - Hands-on experience with Databricks for big data processing and analytics. - Proficiency with the Elastic Stack (Elasticsearch & Kibana) for search and data analysis is a plus. - Analytical Skills : Strong ability to analyze complex data sets, identify trends, and draw actionable conclusions. - Communication Skills : Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders. - Problem-Solving : Demonstrated ability to tackle complex problems and develop innovative solutions. Preferred Qualifications : - Bachelor's, Master's or PhD degree in CS, Statistics, Applied Math, Operations. - Research, Economics, or a related quantitative field with at least 3 years of working experience as a Data Scientist. - Experience with cloud platforms (i.e., AWS, Azure, Google Cloud). - Knowledge of advanced machine learning techniques (i.e., deep learning, natural language processing). - Familiarity with business intelligence tools and methodologies. Position Overview : We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning coupled with excellent problem-solving abilities and a keen business sense. You will work closely with cross-functional teams to extract insights from complex datasets and drive data-driven decision-making. Key Responsibilities : - Data Analysis : Collect, clean, and preprocess large datasets from various sources. - Perform exploratory data analysis to uncover patterns and insights. - Statistical Modeling : Develop and implement statistical models and algorithms to address business problems. - Validate models and perform performance evaluations. - Machine Learning : Design, train, and deploy machine learning models to predict outcomes and automate processes. Continuously improve model accuracy and efficiency. - Collaboration : Work with data engineers, analysts, and other team members to understand business requirements and provide data-driven solutions. - Continuous Learning : Stay updated with the latest industry trends, technologies, and best practices in data science and machine learning. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 12/20/2024