Data Scientist

Job Description

The client is hiring for Data Scientist jobs to join their innovative and growing team. The role involves analyzing large datasets, developing predictive models, and providing actionable insights to guide business strategies. Candidates for these Data Scientist jobs should have expertise in data analysis, machine learning, and proficiency with databases like MongoDB and SQL. This position is ideal for individuals with a strong analytical mindset and problem-solving skills. Key Responsibilities Data Collection & Preprocessing: Collect, clean, and preprocess large datasets from various structured and unstructured sources. Use SQL to query and extract data from relational databases. Work with NoSQL databases like MongoDB to manage and analyze unstructured data. Machine Learning & Modeling: Build and deploy machine learning models for predictive analysis and data-driven decision-making. Perform exploratory data analysis (EDA) to identify trends, patterns, and outliers. Develop statistical models to support business objectives, including hypothesis testing. Visualization & Reporting: Create interactive dashboards and reports using tools like Tableau, Power BI, Matplotlib, and Seaborn. Present technical findings to non-technical stakeholders in an understandable manner. Automation & Optimization: Automate and optimize data workflows and model pipelines to streamline business processes. Stay updated with the latest developments in machine learning, data science, and data engineering. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions. Educational Requirements: Bachelor s degree in Computer Science, Statistics, Mathematics, or a related field. Technical Skills: 1-4 years of professional experience in data science, analytics, or related fields. Strong proficiency in Python and experience with ML frameworks like Scikit-learn, TensorFlow, or PyTorch . Hands-on experience with SQL for querying relational databases. Experience working with MongoDB or other NoSQL databases for unstructured data. Proficient in data visualization using Tableau, Power BI, Matplotlib, or Seaborn. Solid understanding of statistical methods, hypothesis testing, and data analysis techniques . Familiarity with cloud platforms like AWS, Google Cloud, or Azure (bonus). Strong analytical and problem-solving skills. Excellent communication skills to present insights to business stakeholders. Why Consider This Role Career Growth: Gain exposure to cutting-edge technologies and real-world data science challenges. Innovative Environment: Work with a team passionate about data-driven decision-making. Competitive Salary: Attractive compensation package based on experience and expertise