Senior Data Scientist – System Limited – Pakistan
System Limited invites applications for Senior Data Scientist in multiple cities of Pakistan
Job Title:
Senior Data Scientist
Data Scientists will be applying statistical, advanced analytics, machine learning, and AI techniques to solve business problems. You will collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges.
Responsibilities:
Excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, Naive Bayes, Support Vector Machines, Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, Transformers, etc.)
Expertise in applying statistical, advanced analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems. Strong programming skills using Python, SQL, PySpark
Expertise in one or more areas among Large Language Models (LLM), Transformers, Natural Language Processing (NLP), deep learning, recommender systems, and related fields is highly preferred.
Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
Strong analytical, critical-thinking skills with demonstrated ability to identify/analyze/synthesize data and use the data to drive decisions
Superior communication and persuasion skills with executives and non-technical stakeholders, talent for storytelling, visualization, and creating insights from data to deliver practical recommendations for business action
Good knowledge of calculus, linear algebra, statistics, and probability
Requirements:
5+ years of industry experience in data science, machine learning, AI, and advanced analytics in a data scientist role, ML Scientist, research scientist, applied scientist or deep learning scientist role.
4-5 years of experience with programming languages like Python, PySpark, SQL, and/or R.Experience working with relational databases using SQL
Experience with data querying, wrangling, cleaning, and feature engineering working with common relational and non-relational databases in big data environments such as Azure, AWS, or Google Cloud
Experience with big data architecture and pipelines, such as Hadoop, Hive, Spark, and Kafka is a plus
Bachelor’s degree required, Master’s degree or Ph.D. preferred in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.
