(Senior) Data Scientist

Job Summary

As Data Scientist, you will play a crucial role in advancing 360factors’ data analytics capabilities and contributing to upcoming artificial intelligence (AI) projects.

You will be responsible for data analysis, quality assurance in ETL/EDW processes, and actively participating in the development, deployment, and maintenance of various AI models and systems.

Key Responsibilities

Enterprise Data Warehouse (EDW)

Data Analysis

  • Conduct in-depth data analysis in ETL/EDW processes to ensure data accuracy and integrity.
  • Develop and implement logical checks to validate and enhance data quality.

Quality Assurance

  • Collaborate with cross-functional teams to test and validate data within our software applications.
  • Identify and implement measures to enhance data accuracy and reliability.

AI Projects

Problem Definition

  • Collaborate with stakeholders to understand business problems and define clear objectives for machine learning solutions.

Data Collection, Preprocessing and Modeling

  • Acquire and preprocess relevant data for training machine learning models.
  • Handle data cleaning, transformation, and feature engineering to prepare data for analysis.
  • Utilize advanced statistical and machine learning techniques for data modeling and predictive analysis.
  • Design and implement data models, using advanced statistical and machine learning techniques to extract valuable insights from large datasets, and for predictive analysis.
  • Select appropriate model architectures based on the problem at hand, to ensure accuracy, speed, and scalability.

Algorithm & Feature Selection

  • Choose the most suitable machine learning algorithms for specific tasks, considering factors such as data type, size, and complexity.
  • Identify and select relevant features that contribute to the predictive power of the model.
  • Perform feature engineering to enhance model performance.

Model Evaluation & Deployment

  • Develop and implement evaluation metrics to assess model performance.
  • Conduct thorough testing and validation to ensure the model meets business requirements.
  • Fine-tune model hyperparameters to optimize performance and generalization.
  • Integrate machine learning models into production systems; collaborate with DevOps to ensure seamless deployment and monitoring.

Monitoring and Maintenance

  • Implement monitoring systems to track model performance and identify issues.
  • Address model drift and adapt models to changing data patterns.

Scalability

  • Design models that can scale to handle large volumes of data efficiently.
  • Optimize algorithms and infrastructure for distributed computing.

Documentation & Collaboration

  • Create documentation for models, algorithms, and workflows to facilitate knowledge sharing and future development.
  • Communicate findings and insights to non-technical stakeholders.

Experience Requirement

  • 6+ years’ experience of spearheading successful Data Analysis and AI projects
  • Previous or current experience leading EDW/ETL management

Education & Skillset:

  • Bachelor’s in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience in data analysis, quality assurance, and data modeling.
  • Strong programming skills in languages such as Python or R.
  • Experience with machine learning frameworks and libraries.
  • Familiarity with ETL processes and data warehousing.

Required Behavioral Traits:

  • Excellent problem-solving and analytical skills.
  • Strong collaboration and communication skills.
  • Ability to work in a fast-paced, dynamic environment.

Send us your resume at [email protected] mentioning the position in subject line.