Data Science Architect

4 weeks ago

Bengaluru, India HyperThink Systems Pvt Ltd Full time

Job Title: Data Science Architect

Location: Bangalore ,HSR Layout (In office)

Position Overview:

- Responsible for designing and implementing data-driven solutions that leverage advanced analytics, machine learning, and artificial intelligence techniques. As a Data Science Architect, you will collaborate with cross-functional teams to understand business requirements, identify data sources, and develop scalable and robust data science architectures.

- Solution Design: Work closely with stakeholders, including business analysts, data scientists, and software engineers, to understand business objectives, requirements, and constraints. Design end-to-end data science solutions that address complex business problems and align with the organization's strategic goals.

- Data Acquisition and Integration: Identify relevant data sources, both internal and external, and develop strategies for data acquisition, data extraction, transformation, and integration. Ensure data quality, integrity, and security throughout the data lifecycle.

- Machine Learning and AI Models: Collaborate with data scientists to select appropriate machine learning and AI models that best address the business problem at hand. Define model architectures, feature engineering approaches, and evaluation metrics.

- Scalable Infrastructure: Design and implement scalable and efficient data processing and storage architectures. Evaluate and recommend appropriate big data technologies, cloud platforms, and distributed computing frameworks to support large-scale data science projects.

- Data Governance and Compliance: Ensure compliance with data governance policies, data privacy regulations, and industry best practices. Develop and implement data security measures to protect sensitive and confidential information.

- Performance Optimization: Identify performance bottlenecks in data processing, model training, and inference stages. Optimize algorithms, workflows, and infrastructure components to improve scalability, efficiency, and response times.

- Documentation and Communication: Create detailed technical documentation, including system architecture diagrams, data flow diagrams, and technical specifications. Communicate complex technical concepts and solutions to both technical and non-technical stakeholders effectively.

- Emerging Technologies and Trends: Stay abreast of the latest advancements in data science, machine learning, and AI technologies. Evaluate and recommend new tools, frameworks, and methodologies to enhance the data science architecture and capabilities.

Qualifications and Skills:

- Bachelor's or master's degree in Computer Science, Data Science, or a related field. Advanced degrees are preferred.

- Proficiency in programming languages used in data science, such as Python or R, and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

- Experience with cloud platforms (e.g., AWS, Azure, GCP) for scalable data processing and storage.

- Knowledge of data governance, data privacy, and security principles.

- Familiarity with data visualization tools and techniques.

- Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

- Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

- Experience in project management and agile methodologies is a plus.

Key Responsibilities:

Please provide your updated resume along with the below required details,

- Name:

- Contact number:

- Mail Id:

- LinkedIn:

- Current Salary:

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