Data Scientist identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
Proven experience in deploying real-time AI/ML models using Google Cloud Platform.
· Strong programming skills in Python and PySpark.
· Proficiency with SQL and relational databases, data warehouses, and BigQuery.
· Experience in scaling marketing-related AI/ML solutions such as cross/upsell, recommended systems, and category propensity.
· Experience in deploying and managing Large scale Machine Learning Models is a plus
· Expertise with classical ML algorithm like K-NN, LSH, logistic regression, linear regression, SVM, Random forest and clustering.
· Good understanding of ML & DL algorithms and frameworks (Scikit-learn,Spacy, Tensorflow/Keras/ PyTorch)
· Experience in deep learning Algorithms like MLP, CNN, RNN, LSTMs and GANs, Transformers and LLMs.
· Excellent programming skills in Python
· Expertise in Google Cloud and operationalization of models using MLOPs.
· Experience in scheduling jobs for automated training and inference of AI/ML models using airflow or any other workflow orchestration platform.
· Proficiency in collecting data from different data sources, data cleaning, preprocessing, and feature engineering.
· Understanding of regression, classification, and unsupervised ML algorithms.
· Experience in mentoring junior associates in scaling AI/ML models.
· Excellent problem-solving and analytical skills.
· Strong written and verbal communication skills, with the ability to present and explain complex concepts to both technical and non-technical audiences.
Job Type: Full-time
Pay: $130,000.00 per year
Benefits:
Schedule:
Work Location: On the road