Data Scientist - Machine Learning - 3+ Years - Gurgaon/Bangalore

Data Scientist - Machine Learning - 3+ Years - Gurgaon/Bangalore

A high-impact Data Science role where you will work closely with global clients in the Sports, Media & Entertainment domainbuilding predictive models, designing end-to-end ML solutions, and influencing strategic decision-making through advanced analytics. This is an excellent opportunity for professionals who want to work on cutting-edge machine learning, optimization, and statistical modeling projects.

Location:

Your Future Employer:

Responsibilities:

1. Collaborate with client stakeholders to translate business problems into analytical frameworks and identify the best ML/advanced analytics approach.
2. Build predictive, prescriptive, and optimization models using machine learning, statistical methods, neural networks, and OR techniques.
3. Evaluate model performance, ensure interpretability, and enhance models through feedback loops.
4. Design and deploy end-to-end ML/AI solutions, including live deployment workflows in collaboration with data engineering teams.
5. Lead and mentor junior data scientists, conduct code reviews, and contribute to reusable frameworks and accelerators.

Requirements:

1. Bachelor’s/Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or related field

   (Tier 1 preferred).

2. 3–8 years of experience in data science, advanced analytics, or machine learning roles.
3. Strong hands-on experience with Python (pandas, scikit-learn, statsmodels, PyTorch/TensorFlow) and SQL.
4. Experience with ML algorithms such as regression, tree-based models, clustering, recommendation systems, NLP, etc.
5. Working knowledge of cloud environments (AWS/Azure/GCP), MLOps, CI/CD, and analytics consulting experience is a plus.

What is in it for you:

• A fast-paced, innovative environment with exposure to global clients in Sports, Media & Entertainment.
• Opportunity to work closely with experienced analytics leaders and consultants from Day 1.
• Extensive learning, mentorship programs, and hands-on experience across advanced analytical tools.
• Strong career growth with opportunities to influence high-value business decisions.

Reach us:

Disclaimer:

Note:

Scammers can misuse Crescendo Globals name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at www.crescendo-global.com and report fraud immediately. Stay alert!

Profile Keywords: