Senior Lead Data Scientist
Actively Reviewing the ApplicationsMopid
India, Karnataka, Bengaluru
Full-Time
On-site
Posted 2 days ago
•
Apply by June 4, 2026
Job Description
Job Title: Senior Lead Data Scientist
Location: Bengaluru
Work Experience: 9 - 11 years
Mandate Skills
- Experience in Programing (Python, R, SQL, NoSQL,Spark) with ML tools & Cloud Technology (AWS, Azure, GCP)
- Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.
- Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.
- Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.)
- Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
- Contribute to internal product development initiatives related to data science.
- Develop data science roadmap, and guide data scientist to meet their deliverables.
- Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
- Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
- Drive excellent project management required to deliver complex projects, including effort/time estimation.
- Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy
- Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects
- Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders
- Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
- Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.
- Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
- Build business case for technological investments to be made for future needs and to remain competitive
- Ensure that billing and utilization of team members is maximized throughout the year
Desired Skills
- Experience designing data science solutions to business problems
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
- Comfortable with large scale data processing and distributed computing
- Allocates workload among team members and by taking into consideration employee availability, skill set, and current workload when making assignments.
- Providing required inputs to sales, and pre-sales activities
- Excellent written and verbal communication skills
Cloud Technologies,Applied Machine Learning,Python
Required Skills
Communication
Machine Learning
Product Development
Sales
Team Management
Leadership
Project Management
Python
SQL
AWS
Decision Making
Pandas
NumPy
Spark
Scikit-learn
Azure
NoSQL
Data Science
Testing
Billing
Statistics
Analytics
Regression
Algorithms
Data processing
Predictive
Linear Regression
Cadence
Guardrails
SVM
Clustering
Client engagement
Hypothesis
IT management
Logistic
Hypothesis testing
Statistical
Cloud Technology
Linear
Tensor
Distributed computing
Business Case
Unstructured data
PCA
BERT
Client Interaction
Estimation
Computing
Random Forest
Logistic regression
Machine Learning Algorithms
Scrapy
SciKit
Verbal Communication
Data scientist
ML algorithms
Decision Tree
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