Data Scientist

Posted 4 Days Ago
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Chennai, Tamil Nadu, IND
In-Office
Mid level
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Develop and maintain forecasting-focused data science solutions using Python. Analyze and transform data, build and evaluate predictive models, monitor model performance, and support continuous improvement. Collaborate with data scientists, engineers, and stakeholders to deliver reliable, maintainable, deployable solutions. Document methodologies and outcomes while applying software development practices including object-oriented programming, modularization, Git, unit testing, and CI/CD. Azure Databricks, Azure Machine Learning, PySpark, YAML, and Azure DevOps experience are advantageous.
Summary Generated by Built In

Location: India (IND)
Work Mode: Remote
Employment Type: Full-Time
Experience Required: 3–5 Years

Job Summary

We are looking for a Data Scientist with 3–5 years of hands-on experience to work on data science projects with a strong focus on forecasting and predictive modeling. The ideal candidate should have strong practical experience in Python, software development best practices, and building reliable and maintainable data science solutions. Experience with Azure-based data and machine learning platforms will be an added advantage.

1. Responsibilities
  1. Develop and maintain data science solutions with a focus on forecasting use cases.
  2. Analyze datasets to identify patterns, trends, and insights relevant to business requirements.
  3. Build, evaluate, and improve forecasting and predictive models.
  4. Prepare and transform data required for model development and analysis.
  5. Collaborate with data scientists, data engineers, and business stakeholders to understand requirements and deliver effective solutions.
  6. Ensure developed solutions are reliable, maintainable, and suitable for deployment.
  7. Monitor model performance and support continuous improvement of existing forecasting solutions.
  8. Document models, methodologies, assumptions, and project outcomes.
2. Must-Have Skills
  1. 3–5 years of relevant hands-on experience in Data Science.
  2. Strong hands-on experience with Python for data science and model development.
  3. Hands-on experience with forecasting and predictive modeling techniques.
  4. Hands-on experience with Object-Oriented Programming (OOP) and Modularization.
  5. Hands-on experience with Git and Version Control practices.
  6. Hands-on experience with Unit Testing.
  7. Practical experience with CI/CD pipelines and software development practices.
  8. Good level of written and spoken English.
3. Good-to-Have Skills
  1. Experience with Azure Databricks.
  2. Experience with Azure Machine Learning, particularly Jobs and Pipelines.
  3. Knowledge of YAML configurations.
  4. Hands-on experience with PySpark.
  5. Familiarity with Azure DevOps, Jira, or similar task management tools.

Skills Required

  • 3-5 years of relevant hands-on data science experience
  • Strong hands-on experience with Python for data science and model development
  • Hands-on experience with forecasting and predictive modeling techniques
  • Hands-on experience with object-oriented programming and modularization
  • Hands-on experience with Git and version control practices
  • Hands-on experience with unit testing
  • Practical experience with CI/CD pipelines and software development practices
  • Good written and spoken English
  • Experience with Azure Databricks
  • Experience with Azure Machine Learning Jobs and Pipelines
  • Knowledge of YAML configurations
  • Hands-on experience with PySpark
  • Familiarity with Azure DevOps, Jira, or similar task management tools

Datamatics Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.

  • Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
  • Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.

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The Company
HQ: Dubai, Dubai
65 Employees
Year Founded: 2016

What We Do

Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.

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