Posted:9 hours ago|
Platform:
Remote
Part Time
EXL/SM/1482757
Number Of Positions
1
Band
C2
Band Name
Senior Manager
Cost Code
D009870
Campus/Non Campus
NON CAMPUS
Employment Type
Permanent
Requisition Type
New
Max CTC
1500000.0000 - 2500000.0000
Complexity Level
Not Applicable
Work Type
Hybrid – Working Partly From Home And Partly From Office
Group
Analytics
Sub Group
Retail Media & Hi-Tech
Organization
Services
LOB
Services
SBU
Analytics
Country
India
City
Gurgaon
Center
EXL - Gurgaon Center 38
Skill
DATA SCIENCE
Minimum Qualification
B.COM
Certification
No data available
Job Title: Senior Data Scientist
Location: [Insert Location or mention Remote]
Department: Data Science / Analytics
Reports To: Head of Data Science / Director of Analytics
Job Summary:
We are seeking a highly experienced and strategic Senior Data Scientist to join our team. In this role, you will lead complex data science projects, develop advanced machine learning models, and provide actionable insights that directly impact business decisions. You’ll work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies and innovation.
Key Responsibilities:
Lead end-to-end data science projects from problem definition to solution delivery.
Design and implement machine learning and statistical models to solve business problems.
Analyze large, complex datasets to extract actionable insights and support decision-making.
Collaborate with engineering teams to deploy models into production environments.
Translate business requirements into data science problems and effectively communicate results to non-technical stakeholders.
Mentor and guide junior data scientists, reviewing code and sharing best practices.
Continuously evaluate and improve model performance, accuracy, and scalability.
Stay updated with the latest research and industry trends in data science and AI.
Required Skills and Qualifications:
5+ years of experience in data science, machine learning, or applied statistics.
Advanced proficiency in Python or R, along with data libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.
Strong SQL skills and experience working with large-scale data (structured & unstructured).
Experience deploying ML models in production (e.g., using AWS/GCP, Docker, MLflow, etc.).
Solid understanding of statistical modeling, hypothesis testing, A/B testing, and time-series analysis.
Strong communication and data storytelling skills.
Proven ability to manage multiple projects and stakeholders
Workflow Type
EXL Services
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