Data Scientist Architect

Full Time
Posted 2 weeks ago


Role Data Scientist Architect
Experience 9 – 15 Years
Educational Qualification B.E / B. Tech, M.E/ M. Tech
Location Bangalore
Technical Competencies Machine Learning, Deep Learning, Python, Spark, Deployment, AI, NLP, Tensorflow/Pytorch, Database, OLAP


Strategic Data Planning and Architecture:

  • Lead the development of our data architecture strategy, encompassing data collection, storage, processing, and analysis.
  • Design scalable and efficient data pipelines and architectures to support our growing data needs.
  • Collaborate with cross-functional teams to ensure alignment with business goals and objectives.

Advanced Analytics and Modeling:

  • Develop and deploy sophisticated machine learning models and algorithms to extract actionable insights from complex datasets.
  • Apply statistical techniques and advanced analytics to solve business problems and drive decision-making.
  • Innovate in areas such as deep learning, natural language processing, and predictive modeling to stay at the forefront of data science.

Data Governance and Compliance:

  • Establish and enforce data governance policies and best practices to ensure data quality, integrity, and security.
  • Ensure compliance with regulatory requirements such as GDPR, HIPAA, and CCPA.
  • Implement data privacy and anonymization techniques to protect sensitive information.

Model Deployment and Integration:

  • Architect robust model deployment pipelines for seamless integration into production environments.
  • Collaborate with IT and DevOps teams to deploy and monitor models at scale.
  • Optimize model performance and scalability for real-time inference and decision-making.

Leadership and Mentorship:

  • Provide technical leadership and guidance to junior data scientists and analysts.
  • Foster a culture of innovation, collaboration, and continuous learning within the data science team.
  • Act as a subject matter expert on data science and architecture, both internally and externally.

Required Skills/Experience:

  • Proficiency in programming languages such as Python, R, or Scala, with a focus on data manipulation, analysis, and modeling.
  • Expertise in data visualization tools and libraries such as Matplotlib, Seaborn, Plotly, or D3.js.
  • Deep understanding of database technologies including SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
  • Experience with big data technologies such as Hadoop, Spark, or Kafka for processing and analyzing large datasets.
  • Knowledge of distributed computing frameworks such as Apache Hadoop, Apache Spark, or Apache Flink.
  • Familiarity with containerization technologies such as Docker and container orchestration tools like Kubernetes.
  • Experience with version control systems such as Git for code management and collaboration.
  • Strong understanding of software engineering principles, including modular design, testing, and debugging.
  • Knowledge of agile methodologies and experience working in agile development environments.
  • Familiarity with data engineering concepts and tools for data ingestion, transformation, and cleansing.
  • Experience with streaming data technologies and real-time data processing frameworks (e.g., Apache Kafka, Apache Flink, Apache Storm).
  • Understanding of machine learning operations (MLOps) principles and practices for managing machine learning lifecycle.
  • Familiarity with natural language processing (NLP) techniques and libraries such as NLTK, spaCy, or TensorFlow.


  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field.
  • 12-14 years of experience in data science, with a focus on architecture and design.
  • Proven expertise in designing and implementing data architectures and solutions at scale.
  • Strong proficiency in machine learning, statistical analysis, and data mining techniques.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
  • Leadership experience, with a track record of leading cross-functional teams and driving strategic initiatives.

Job Features

Job CategoryIntelligent Connected Products

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