Staff Engineer - Data Science

Altimetrik • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Master's Degree • Python • SQL • 7 hours ago
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Salary
≈ $29k – $53k per year (Estimated)
Location
In office (Chennai)
Seniority
Staff · 9+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Apr 1, 2026. Altimetrik scores D on the Alion truth index.

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Company
Impact
Profile match

Altimetrik

Altimetrik is an IT company that provides technology solutions to enterprises in areas of Digital, Connected Solutions and Consumer Technologies. Has offices globally including India, Singapore, UAE and Uruguay.
altimetrik.com • Bengaluru • Mumbai • Chennai • Bogotá • Jaipur • IT Outsourcing & Dedicated Teams • Custom Software Development • IT Consulting & Digital Transformation • 51-200 employees • Est. 2012
Tech stack of Altimetrik
  • Staff Engineer - Data Science, with Automotive domain having 9 - 13 years of professional experience, will possess a robust understanding of applying data-driven solutions within industry contexts relevant to Ford.
  • Advanced proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn, is essential for data manipulation and machine learning model development.
  • Expertise in SQL is critical for managing and querying large datasets, ensuring data integrity, and optimizing database interactions.
  • Substantial experience in data analysis methodologies enables the extraction of meaningful insights and supports data-informed decisions.
  • A solid foundation in Natural Language Processing (NLP) is vital for analyzing and interpreting human language data to enhance user experience.
  • Proficiency in Machine Learning (ML) and Artificial Intelligence (AI) is required to implement advanced algorithms and predictive models that drive innovation.
  • Familiarity with best practices in data governance and ethical AI usage is expected.
  • Education requirements include a Master of Science (M.Sc.) in Data Science or a Postgraduate Diploma in Data Science.
  • Certifications such as Certified Data Scientist or Certified Analytics Professional are preferred to validate expertise.
  • Good to have experience with LLMOps practices for managing large language models and knowledge of version control systems, especially Git.
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