Data Science For Leading Security Depository

Roles and Responsibilities

Job Description: - Data Science
Role Overview:
We are seeking a skilled and enthusiastic Data Scientist to join our team. As a Data Scientist, you will
be responsible for applying statistical techniques, machine learning algorithms, and image and document parsing to extract insights from complex datasets. Your expertise will contribute to the development of data-driven solutions that drive business growth and enhance decision-making
processes. This role requires strong analytical abilities, exceptional problem-solving skills, and proficiency in cloud technologies.
Responsibilities :
Data Analysis and Modeling:
Apply statistical techniques and exploratory data analysis to identify patterns, trends, and correlations within large datasets.
Develop and implement predictive models and algorithms to solve complex business
problems.
Conduct feature engineering and selection to improve model performance and
interpretability.
Utilize machine learning techniques to extract insights and make accurate predictions from structured and unstructured data. Image and Document Parsing:
Utilize image processing techniques to analyze and extract information from images.
Apply natural language processing techniques for document parsing, text extraction, and sentiment analysis. Cloud and Infrastructure:
Utilize cloud platforms AWS, Azure, Google Cloud) to manage and process large-scale datasets efficiently.
Design and implement data pipelines and workflows for data ingestion, transformation, and storage.
Deploy and scale machine learning models in the cloud, leveraging containerization
technologies. Collaboration and Communication:
Collaborate with internal and external stakeholders to understand business requirements and formulate data-driven solutions.
Communicate complex findings and insights to non-technical stakeholders through
visualizations, presentations, and reports.
Work closely with data engineers, software developers, and domain experts to ensure
seamless integration of data science is an individual contributor role for now with possibilities for people and project management in the near future.

Qualifications:

Must-Have:
Bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, or
a related field.
Proven experience as a Data Scientist or similar role, with a strong track record
of delivering successful data-driven solutions.
Proficiency in statistical modeling, machine learning algorithms, and data visualization
techniques.
Strong programming skills in languages such as Python or R, with experience in data
manipulation and analysis libraries pandas, NumPy, scikit-learn).
Familiarity with image processing techniques and computer vision frameworks TensorFlow, PyTorch).
Experience with document parsing techniques and natural language processing NLTK, spaCy).
Experience with cloud platforms and services for data storage, processing, and deployment
of machine learning models.
Excellent problem-solving abilities and a strong analytical mindset.
Effective communication skills, with the ability to present complex ideas and findings to both
technical and non-technical stakeholders.
Desirable:
degree in a relevant field with a focus on machine learning, computer vision, or natural
language processing.
Experience with deep learning architectures CNNs, RNNs, Transformers) and
frameworks TensorFlow, PyTorch, Hugging Face).
Knowledge of data extraction techniques from unstructured sources such as OCR, PDF, and
text documents.
Familiarity with distributed computing frameworks Apache Spark) and big data
technologies.
Experience with cloud-based machine learning services and serverless architectures.
Understanding of data privacy regulations and best practices for handling sensitive data.
Joining our team as a Data Scientist provides an exciting opportunity to work on challenging
problems and contribute to cutting-edge data science projects. If you are passionate about applying
statistical techniques, machine learning algorithms, image and document parsing, and cloud
technologies, we encourage you to apply and become part of our innovative and dynamic team.

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