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Data Science Manager @ Tredence

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 Data Science Manager

Job Description

Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities:

Connect with internal / external POC to understand the business requirements Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis

Create project plan and sprints for milestones / deliverables

Spin VM, create and optimize clusters for Data Science workflows

Create data pipelines to ingest data effectively

Assure the quality of data with proactive checks and resolve the gaps Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms

Research whether similar solutions have been already developed before building ML models

Create optimized data models to query relevant data efficiently

Run relevant ML / DL algorithms for business goal seek

Optimize and validate these ML / DL models to scale

Create light applications, simulators, and scenario builders to help business consume the end outputs

Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively

Integrate and operationalize the models in client ecosystem

Document project artifacts and log failures and exceptions.

Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedback

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time

Contact Details:

Company: Tredence
Location(s): Bengaluru

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Keyskills:   Predictive Modeling Data Science Generative Ai Artificial Intelligence Time Series Analysis Natural Language Processing Statistical Modeling Machine Learning Deep Learning Python Ml Predictive Analytics

 Fraud Alert to job seekers!

₹ 25-40 Lacs P.A

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Tredence

Tredence is a global data science solutions provider focused on solving the last mile problem in AI. The last mileis the gap between insight creation and value realization.Headquartered in San Jose, the company embraces a vertical-first approach and an ou