Manager - Data Scientist
3 months ago
Job Description
A Position Overview
Position Title
Manager - Data Science
Department
TDABSG
Level/ Band
AM/Manager
Role Summary : He or She will be responsible for advancing analytics opportunities in the BFSI* sector, managing project delivery, people, and stakeholders. The ideal candidate will have a strong background in advanced analytics and experience in leading high-impact analytics solutions and programs with Indian clients.
BOrganizational Relationships
Reports to
SM/AVP/VP
Supervises
NA
CJob Dimensions
Geographic Area Covered
Pan India
Stakeholders Internal
TDA-BSG and all other TATA AIA internal departments
External
Partners
DKey Result Areas
Stakeholder Management
·Manage stakeholder interactions by having regular updates and growing stakeholder engagement (., with channel partners).
·Design, plan, and scope out projects with stakeholders.
·Explain project methodology and approach to required stakeholders.
·Project Management and Training
·Manage end-to-end project deliverables by adhering to timelines, budgets, and stakeholder expectations.
·Ensure Standard Operating Procedures are followed and relevant documents are maintained.
Delivery
·Collaborate and consulting team members and discuss with internal clients to help them sharpen their business strategy by implementing analytical models..
·Understand business problems and address them to solve client issues.
GSkills Required
Technical
·Experience working on projects end-to-end, not just POCs.
·Expertise in machine learning and deep learning.
·Deep expertise in either R, Python, or SAS.
·Good understanding of different DBMS and SQL
·Experience with cloud-based analytics platforms (Azure, GCP, AWS) is a plus
Additional Skills:
·Data processing and data science libraries of Python (NumPy, Pandas, Scikit learn, .
·Experience and understanding of working with massive datasets
·Building ML algorithms from scratch in Python, SAS or R
·Knowledge of various analytical models, including:
1.Cluster Analysis
2.Logistic Regression (including fraud detection and lapsation models)
3.Segmentation and Clustering
4.Next best recommendation
5.Neural network models (ANN, RNN, CNN)
6.Bagging and boosting
7.Generative models
Behavioral
Essential
Desired
Interpersonal skills
•
Communication skills
•
Creative thinking skills
•
Supervising/Leadership skills
•
Teamwork Skills
•
Influencing skills
•
Relationship Building skills
•
Decision making skills
•
HIncumbent Characteristics
Essential
Desired
Qualification
1. Graduate/Postgraduate degree from Tier-I/II colleges.
2. Ability to design and review new solution concepts and lead the delivery of high-impact analytics solutions and programs for global clients.
3. Strong understanding of statistical concepts.
Experience
5-7 years of experience in advanced analytics.
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