PMsquare is looking for a seasoned Data Scientist with a proven track record in architecting performant & highly scalable, distributed applications and delivering a highly scalable platform with the following key responsibilities:

Key Responsibilities:

• Develop, implement, and optimize innovative data models and algorithms using machine learning and statistical techniques.
• Leverage cloud platforms like AWS or Azure for managing datasets, implementing data-driven solutions, and scaling analytical models.
• Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions.
• Conduct comprehensive data analysis and interpret complex data to generate actionable insights.
• Develop custom data models and algorithms tailored for business needs and predictive or classification tasks.
• Maintain existing data pipelines, ensuring data quality, and compliance with relevant regulations.
• Utilize AWS cloud architecture to store, process, and analyze large datasets efficiently.
• Conduct deep data analyses and generate actionable insights using AWS analytics services like Amazon QuickSight and Amazon EMR.
• Collaborate with cross-functional teams to identify business problems and formulate data-driven solutions.
• Collect, clean, and preprocess large datasets for analysis.
• Develop and implement advanced machine learning models and statistical techniques to solve complex problems.
• Perform data exploration, visualization, and feature engineering to uncover hidden patterns and trends.
• Communicate findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations and reports.
• Stay up-to-date with the latest industry trends, tools, and technologies in data science.

PMsquare is seeking a talented and experienced Data Scientist to join a dynamic and innovative team working on the edge of technology. As a Data Scientist, you will play a crucial role in extracting valuable insights from complex datasets to drive data-driven decision-making and innovation within our organization and our clients. Your work will contribute to enhancing our products and services, optimizing processes, and ultimately, our company's success.

Preferred Qualifications (Plus):

• Experience working with AWS (Amazon Web Services) and its relevant technologies, such as S3, EC2, Redshift, and SageMaker.
• Knowledge of big data technologies like Hadoop, Spark, or Hive.
• Familiarity with deep learning frameworks (e.g., PyTorch) and natural language processing (NLP) techniques.
• Previous experience in industries such as e-commerce finance,      healthcare,     or manufacturing.
• High priority will be given for Professional AWS certification holders.

Required Skills and Experience:

• Proficiency in programming languages such as Python.
• Strong knowledge of data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, scikit-learn).
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Solid understanding of statistical analysis and hypothesis testing.
• Strong problem-solving skills and the ability to work independently and in a team.
• Excellent communication skills and the ability to translate complex findings into actionable insights.

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 4+ years of hands-on experience in data science and machine learning