Senior Data Scientist

We are seeking a skilled Senior Data Scientist with strong expertise in deep learning, time series forecasting, and cloud-based data solutions. In this role, you will be responsible for designing, developing, and deploying advanced predictive models using modern ML frameworks and AWS cloud services to solve complex business problems and drive data-driven decisions.
Responsibilities:
Design, develop, and deploy scalable machine learning and deep learning models using Python, NumPy, Pandas, Scikit-learn, and TensorFlow.
Build and implement robust time series forecasting solutions using models such as DeepAR, ARIMA, and other advanced techniques.
Develop and manage end-to-end data pipelines and cloud-based workflows using AWS services, including S3 Athena, Redshift, and SageMaker.
Collaborate with cross-functional teams to define data requirements, evaluate model performance, and translate business needs into data science solutions.
Lead model monitoring, optimization, and continuous improvement initiatives in production environments.
Requirements:
2-4 years of hands-on experience in data science, machine learning, or a related field.
Strong proficiency in Python and libraries like NumPy, Pandas, Scikit-learn, and TensorFlow.
Solid understanding of deep learning concepts and time series forecasting models like DeepAR and ARIMA.
Proven experience with the AWS ecosystem: S3 Athena, Redshift, and SageMaker.
Excellent problem-solving, analytical thinking, and communication skills.
Preferred Qualifications:
Experience in model deployment, MLOps, and model performance monitoring.
Familiarity with big data frameworks such as Apache Spark and Hadoop.
Bachelor's / Master's degree in computer science, statistics, engineering, mathematics, or a related quantitative field.

Skills
NumPy, Pandas, Recommendation, Recommendation Engine, Recommendation System, Recommender System, Scikit Learn, Scikit-Learn, collaborative filtering, content-based filtering, matrix factorization, sklearn

Experience
2-4 yrs