Data Scientist

Job Description: Data Scientist - Advanced Analytics & Network Insights

Position Requirements:

• Strong expertise in analytics solutions, including data collection, preprocessing, model development, and deployment.
• Proficient in machine learning techniques and algorithms (e.g., Naive Bayes, SVM, Decision Forests, Bagging & Boosting Models).
• Strong understanding of feature scaling, dimensionality reduction, and data compression techniques.
• Expertise in Python, PySpark, R, and libraries such as Scikit-learn, NumPy, TensorFlow.
• 5+ years of experience in deploying scalable machine learning systems, with 4+ years in NLP or text analytics development.
• Proficient in SQL, Hadoop, Spark, and data storage frameworks.
• Skilled in designing and deploying auto big data pipelines for production environments.
• Experienced in developing ETL (Extract, Transform, Load) workflows for seamless data integration.
• Expertise in building interactive dashboards and reports using Tableau and other visualization tools.
• Experience with agile methodologies, data-driven development, and reliable experimentation.
• Knowledge of machine learning publications or contributions to open-source projects is a plus.

Role & Responsibilities:

• Lead the development and optimization of machine learning models, including recommendation and personalization systems.
• Develop end-to-end analytics solutions, from data preprocessing to machine learning model deployment.
• Build and optimize big data pipelines, ensuring scalability and efficiency in production environments.
• Conduct data mining and implement advanced classifiers to enhance customer experiences and business performance.
• Process and analyze large datasets using big data tools like Spark and Hive.
• Process, cleanse, and validate data for analysis, ensuring accuracy and integrity.
• Extend existing data with third-party sources as needed for enriched analysis.
• Perform ad-hoc analyses and present actionable insights clearly to stakeholders.
• Collaborate with cross-functional teams to deliver tailored solutions aligned with business objectives.