Senior Engineer - Data Science

Altimetrik • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Master's Degree • Python • 1 day ago
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Salary
≈ $21k – $43k per year (Estimated)
Location
In office (Chennai)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Apr 1, 2026. Altimetrik scores D on the Alion truth index.

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Company
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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
  • Senior Engineer - Data Science, with Automotive domain having 6 - 10 years of experience, demonstrating advanced proficiency in data analysis, utilizing statistical techniques and tools to derive meaningful insights from complex datasets.
  • The ideal candidate will possess a robust set of qualifications and skills tailored to data science and artificial intelligence, with a focus on data mining, machine learning, and big data.
  • Significant experience in data mining is crucial for identifying patterns and trends in large volumes of data to enhance business processes and outcomes.
  • Expertise in machine learning is essential for developing predictive models and algorithms that automate decision-making processes.
  • Comfortable with various ML frameworks and libraries, the candidate will apply them to real-world problems to refine data accuracy and optimize performance.
  • Data profiling skills are vital for assessing data quality, ensuring it meets necessary standards for analysis, and identifying any quality issues.
  • Experience with big data technologies, utilizing tools such as Hadoop and Spark, is a must for efficient data analysis.
  • A solid understanding of artificial intelligence is required, involving projects that leverage AI to enhance product offerings and improve customer experiences.
  • Candidates should hold a Master’s degree in Data Science, Artificial Intelligence, or a related field, ensuring they possess the necessary theoretical and practical knowledge.
  • Certifications such as Certified Data Scientist and Microsoft Certified: Azure Data Scientist Associate are preferred, validating the candidate's expertise and commitment to ongoing professional development.
  • Proficiency in Python programming for data manipulation and automation, familiarity with LLMOps practices, and a strong understanding of software development methodologies are good to have.
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