Senior Data Scientist

Shyftlabs

5 - 10 years

7 - 12 Lacs

Noida

Posted:4 hours ago| Platform:

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Skills Required

deep learning Statistical analysis data manipulation Machine learning Hypothesis Testing Data quality Statistics Performance improvement SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position Overview

Here at ShyftLabs, we are searching for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution

Job Responsibilities:

Research, design, and develop innovative generative AI models and applications.
Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.
Train and fine-tune AI models on large datasets to achieve optimal performance.
Optimize AI models for deployment in production environments.
Stay up-to-date with the latest advancements in AI and machine learning.
Collaborate with data scientists and engineers to ensure data quality and accessibility.
Design, implement, and optimize machine learning algorithms for tasks like classification, prediction, and clustering.
Develop and maintain robust AI infrastructure.
Document technical designs, decisions, and processes, and communicate progress and results to stakeholders
Work with cross-functional teams to integrate AI/ML models into production-level applications

Basic Qualifications:

Masters degree in a quantitative discipline or equivalent.
5+ years minimum professional experience.
Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation.
Excellent verbal and written communication skills, with the ability to present
information and analysis results effectively.
Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company.
Statistics : must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
Machine Learning : must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation.
Programming : experience with Python or other scripting languages and database language (e.g., SQL) or data manipulation (e.g., Pandas).

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