Data Scientist

Responsibilities

1. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team
2. Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making
3. Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
4. Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
5. Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Qualifications

1. Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline.
2. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation.
3. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim.
4. 2+ years of experience with both supervised and unsupervised machine learning techniques.
5. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense.
6. 1+ years' experience in SQL programming language and relational databases.