Data Scientist (Fresher)
Celebal Technologies · Jaipur
Source and collection record
Last observed by our collector: . This is not a manual review or a confirmation from the employer.
Employer requisition: data-scientist-fresher
Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.
Your application evidence checklist
Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.
0 of 3 checks marked. Keep unresolved requirements as questions for the employer.
Collected role description
Aspiring Data Scientist with a strong foundation in Python, SQL, statistics, and machine learning fundamentals. Hands-on experience through academic and personal projects involving data analysis, data visualization, and predictive modeling. Familiar with libraries such as Pandas, NumPy, Scikit-learn, and basic cloud technologies. Passionate about transforming data into actionable insights and continuously learning modern data science techniques. Responsibilities: Collaborating with key stakeholders, business partners, and research teams to understand the business problem. Developing data science products and solutions for clients using Azure services. Identifying creative solutions to build relevant training data sets. Training models and optimizing hyperparameters. Working closely with our data engineers to productionize models. Communicating vital information, obstacles, and insights to relevant stakeholders. Making recommendations to adapt existing business strategies. Keeping up to date with the latest technology trends. Qualifications: Qualification: B.tech (CSE/IT/ECE), M.tech, MCA, BCA, MSC.IT No Active Backlogs Passing out year: - 2026 60% throughout the career
Collected minimum qualification
Qualification: B.tech (CSE/IT/ECE), M.tech, MCA, BCA, MSC.IT
Collected preferred qualification
No Active Backlogs | Passing out year: - 2026 | 60% throughout the career
Collected experience requirement
No experience required