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Celebal Technologies Data Science Hiring Drive for 2023-2026 graduates . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in Gurgaon / India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Apply All Active Superset Hiring For Freshers
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About Company :
After shaping 100+ data science careers across India, Celebal Technologies is back with one mission: to accelerate the next generation of data talent. Built for freshers and early professionals ready to fast-track their Data & AI careers. This is your chance to work with a leading Data & AI powerhouse collaborating with global partners like Microsoft, Databricks, AWS, and SAP, with opportunities across Jaipur, Noida, Pune, and Hyderabad.
Job Description :
To handle data analytics issues in our company, gather massive amounts of data from various sources, clean and analyze data, develop ways to overcome obstacles, and interact with interested parties, we are seeking to hire a very creative data scientist.
Data scientists use computing and statistical and mathematical methods to examine unprocessed data. This could entail processing and filtering data in order to arrive at insightful interpretations and findings, as well as developing solutions.
Required Skills
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Strong written comprehension and attention to detail
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Ability to follow guidelines and make objective decisions
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Basic computer knowledge and familiarity with social media platforms
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Good communication and documentation skills
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Emotional resilience and ability to handle sensitive content
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Willingness to work in shifts, including weekends if required
Qualification
- 2023–2026 graduates
- 0–6 months of experience
- Aspiring Data Science professionals
Responsibilities:
- Having meetings with team members regarding projects.
- Collecting and interpreting data.
- Automating and integrating processes.
- Researching solutions to overcome data analytics challenges.
- Developing complex mathematical models that integrate business rules and requirements.
- Creating machine learning models.
- Communicating and meeting with engineers, IT teams, and other interested parties.
- Sharing complex ideas verbally and visually in an understandable manner with nontechnical stakeholders.
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