6 - 8 years

20 - 28 Lacs

Posted:8 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Role: Data Scientist

  • Location: Hyderabad, Telangana, India (Remote for 3 months, then On-site)
  • Compensation: ₹20 LPA - ₹28 LPA
  • Experience Level: 6- 8 Years

About Company

It is a global leader in AI and machine learning solutions, with a footprint in Mexico, the United States, and India. Our mission is to pioneer business success through next-generation technologies, empowering partners to modernize, scale, and innovate. With an emphasis on innovation, client-centricity, ethical AI development, and continuous learning, we are building foundational teams in Hyderabad to drive our Indian operations—making this a rare opportunity to shape the culture and direction of an AI-first company.

Role Overview

As a

Data Scientist

, you will play a critical role in driving data-driven decision-making by extracting actionable insights from complex datasets. You will collaborate cross-functionally with engineers, product managers, and business stakeholders to design and implement scalable machine learning solutions that enhance products and services.

Key Responsibilities

  • Analyze large and complex datasets to extract meaningful insights and support business decisions
  • Design, develop, and deploy machine learning models and statistical algorithms
  • Collaborate with engineering and product teams to integrate models into production
  • Develop and maintain data pipelines and model performance monitoring systems
  • Communicate technical concepts and results clearly to non-technical stakeholders
  • Continuously research and implement new tools, techniques, and best practices in data science

Required Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field
  • Minimum 8 years of relevant experience with a Bachelor's degree, or 6 years with a Master’s degree
  • Proficiency in programming languages such as Python, R, or SQL
  • Hands-on experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Strong experience with data visualization tools such as Tableau or Power BI
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud
  • Understanding of big data tools and frameworks (e.g., Hadoop, Spark)
  • Strong analytical, problem-solving, and communication skills
  • Experience working in Agile development environments

Preferred Skills (Role-Dependent):-

Depending on project requirements, experience in the following technologies is highly desirable:
  • Azure, Microservice Architecture, C#, .NET, SQL
  • PHP, MySQL, JavaScript, Vue.js, HTML
  • Unit testing methodologies
  • OOP/MVC design patterns
  • Docker, Pub/Sub systems, and asynchronous messaging
  • Experience with Linux OS (preferably Ubuntu)
  • MVVM architecture, Angular, Knockout
  • NoSQL databases (e.g., Azure CosmosDB)

Hiring Process:-

  • Initial Screening Interview
  • Two Technical Rounds (by the US-based team)
  • Final Evaluation Round

Work Culture & Values

  • Innovation & Excellence: Operate at the cutting edge of AI and analytics while driving process and product innovation.
  • Client-Focused Mindset: Every team member directly impacts client partnership and success.
  • Integrity & Responsibility: Uphold the highest standards of ethical conduct and data integrity.
  • Continuous Learning: Regular mentorship, open learning sessions, and support for upskilling.
  • Collaboration: Diverse, international team with transparent communication and a culture of inclusion and support.

Additional Details:-

  • First 3 months: Contractual, remote work (anywhere in India)
  • After 3 months: Permanent, on-site in Hyderabad (support provided for relocation, if needed)
  • Unique Opportunity: Contribute to building the foundation of our India operations with direct exposure to international teams and cutting-edge AI product innovation.
Skills: python,linux,oop,unit testing methodologies,c#,pytorch,power bi,azure cosmosdb,.net,angular,vue.js,google cloud,microservice architecture,sql,mvvm architecture,scikit-learn,r, python, machine learning, tableau, big data,php,docker,knockout,azure,cloud platforms like aws, azure, or google cloud,spark,tensorflow, pytorch, or scikit-learn,tensorflow,aws,r,mvc design patterns,data scientist,javascript,mysql,big data tools and frameworks (e.g., hadoop, spark),tableau,hadoop,html

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