Data analyst

Job Description: We are looking for a highly-skilled Data Scientist to join our team and play a pivotal role in transforming raw data into actionable insights. The ideal candidate is passionate about leveraging data to solve real-world business problems, possesses a strong analytical mindset, and is comfortable working in a dynamic, fast-paced environment. Key Responsibilities: Data Analysis & Interpretation: Analyze large datasets to discover trends and patterns that help drive business strategies and decision-making. Predictive Modeling: Build and deploy machine learning models to forecast business outcomes, customer behavior, and operational improvements. Data Collection: Collaborate with internal teams to gather, clean, and preprocess data from multiple sources. Statistical Analysis: Use advanced statistical techniques to interpret data and derive actionable insights. Data Visualization: Create clear, visually compelling dashboards and reports to present findings to stakeholders and senior management. Experimentation: Design and conduct experiments, including A/B testing, to evaluate hypotheses and measure the effectiveness of different strategies. Collaboration: Work cross-functionally with product, engineering, and marketing teams to align data insights with business goals. Algorithm Development: Develop custom algorithms for specific business needs using Python, R, or similar tools. Required Qualifications: Educational Background: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related fields. Technical Expertise: Proficiency in programming languages like Python, R, SQL. Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of statistics, probability, and advanced mathematical concepts. Experience with data visualization tools (e.g., Tableau, PowerBI, Matplotlib). Experience: 2+ years of experience in a data-driven role, working with large datasets and delivering data insights. Problem-solving Skills: Strong analytical skills and ability to turn complex data into actionable strategies. Communication Skills: Excellent verbal and written communication to effectively convey technical findings to non-technical stakeholders. Preferred Qualifications: Familiarity with cloud platforms such as AWS, GCP, or Azure. Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of Natural Language Processing (NLP) and deep learning techniques.