Data Science - Machine Learning - 3+ Years - Gurgaon/Bangalore
| Location: | Bangalore(East) |
| Discipline: | Technology & Analytics Practice, Analytics |
| Job type: | Permanent |
| Contact name: | Aayushi Goyal |
| Contact email: | aayushi.goyal@crescendogroup.in |
| Job ref: | 87160 |
| Published: | about 18 hours ago |
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 domain—building 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: Gurgaon / Bangalore
Your Future Employer: You will be working with a prestigious organization known for its commitment to diversity, equality and inclusion. They offer a dynamic work environment, opportunities for career growth, and a supportive team culture.
Responsibilities:
Collaborate with client stakeholders to translate business problems into analytical frameworks and identify the best ML/advanced analytics approach.
Build predictive, prescriptive, and optimization models using machine learning, statistical methods, neural networks, and OR techniques.
Evaluate model performance, ensure interpretability, and enhance models through feedback loops.
Design and deploy end-to-end ML/AI solutions, including live deployment workflows in collaboration with data engineering teams.
Lead and mentor junior data scientists, conduct code reviews, and contribute to reusable frameworks and accelerators.
Requirements:
Bachelor’s/Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or related field (Tier 1 preferred).
3–8 years of experience in data science, advanced analytics, or machine learning roles.
Strong hands-on experience with Python (pandas, scikit-learn, statsmodels, PyTorch/TensorFlow) and SQL.
Experience with ML algorithms such as regression, tree-based models, clustering, recommendation systems, NLP, etc.
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: If you think this role aligns with your career aspirations, kindly share your updated CV at aayushi.goyal@crescendogroup.infor a confidential conversation.
Disclaimer: Crescendo Global specializes in Senior to C-level niche recruitment. We are committed to empowering job seekers and employers with a memorable leadership hiring experience. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, veteran status, or disability.
Note: We receive a large number of applications daily. If you do not hear back within a week, please assume your profile is not shortlisted for this role. Your patience is appreciated.
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: Data Scientist Jobs, Machine Learning Jobs, Predictive Modeling Jobs, Analytics Consulting, Python Data Science, Sports Analytics Jobs, Media Analytics Jobs, ML Engineer Jobs, Advanced Analytics Jobs, Crescendo Global.
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