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.
- 3to 5 years of experience in deploying scalable machine learning systems, with 2+ 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.
