Data Scientist With Statistics Skills
Data Science Analytics & Machine Learning
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Job Description
- You will be responsible for converting SAS to Python code efficiently. Your role will involve acquiring the necessary skills for building Machine Learning models and deploying them in a production environment. You will be expected to perform tasks such as Feature Engineering, Exploratory Data Analysis (EDA), Pipeline creation, Model training, and hyperparameter tuning using both structured and unstructured datasets. Additionally, you will be required to develop and deploy cloud-based applications, including LLM/GenAI, into production.
To excel in this role, you should have hands-on experience in working with SAS to Python conversions and possess strong mathematics and statistics skills. Proficiency in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc., will be advantageous. You must be able to understand business requirements and derive use cases while creating solutions from structured and unstructured data. Effective storytelling, business communication, and documentation skills are essential for this position.
Your programming skills should include expertise in SAS, Python, Scikit-Learn, TensorFlow, PyTorch, and Keras. Experience in Exploratory Data Analysis, Machine Learning and Deep Learning Algorithms, Model building, Hyperparameter tuning, Model performance metrics, MLOps, Data Pipeline, Data Engineering, and Statistics Knowledge (Probability Distributions, Hypothesis Testing) will be required. Familiarity with Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP) is also essential.
Moreover, you should be well-versed in utilizing ML services from Cloud platforms such as AWS, GCP, Azure, and Databricks. Optional knowledge of Databricks and Big Data, including basic understanding of Spark and Hive, will be considered a plus.
The ideal candidate for this position would have 7 to 10 years of relevant experience and possess strong skills in Python, SAS, and Machine Learning.
Job Reference Number: 13070,
Skills
Big DataPythonData AnalysisDeep LearningMachine LearningAnalyticsAiMlData ScientistPythonSASMachine LearningIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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