Senior Data Scientist - MLOps/Python @ Prathigna. Hr

Job Description

Position : Data Scientist Experience : 6+ years. Location : Remote. We need to look at statistical analysis, statistical modelling/programming as key skills with SQL & Python, NLP expertise. Must Have Run a DS project for Supply Chain team by themselves, stakeholder engagement and translate business problem, propose solutions. Will be partnered with DEs and others, working on extensive DS solutioning approaches with good communication skills. DS (with statistics fundamentally) 60% + Machine Learning 30% [Python, SQL in general]. Good To Have Supply Chain domain knowledge 10%. MLOps (specifically on premise deployment) knowledge. Good to have Optimization models - experience in optimization. Job Responsibility Run a DS project for Supply Chain team by themselves, stakeholder engagement and translate business. problem, propose solutions. Will be partnered with DEs and others, working on extensive DS solutioning approaches, Supply Chain. domain knowledge is a. plus. DS 60% + ML 30% + Stats + Supply Chain domain knowledge 10%. Good to have Optimization models - experience in optimization. Apply domain expertise in technology to develop data-driven solutions that address complex challenges in the industry. Collaborate with cross-functional teams to identify business problems and opportunities where data science.Can provide valuable insights and solutions. Utilize Python for data manipulation, analysis, and model development, demonstrating proficiency. in creating efficient and well-documented code. Showcase a strong portfolio of successfully deployed machine learning projects that highlight expertise in predictive modeling, classification, regression, clustering, and more. Hands-on experience in deep learning techniques related to computer vision and/or Natural Language. Processing (NLP). Exhibit knowledge of MLOps practices, enabling smooth integration of machine learning models into production. Systems and maintaining their lifecycle. Demonstrate an intermediate level of proficiency in on-prem platforms (e.g. AWS, Azure, GCP) to ensure. Efficient and scalable deployment of machine learning solutions. Stay up to date with the latest advancements in data science, machine learning, and AI technologies to provide. Innovative insights and solutions. Carry out open-ended data mining and analysis for medium to large datasets from disparate sources. Understanding of data science model deployment techniques in containerized environments like. Kubernetes. Requirements & Qualifications Bachelor's or Master's degree in a relevant field such as Computer Science, Data Science, Statistics,. or a related quantitative discipline. Querying data from structured (SQL) and unstructured data stores; advanced scripting. Techniques using Python; optimizing code for performance, scalability, and readability; and using statistics and machine learning. Hands on experience on Knowledge Graph & Decision engines is a must. 4-8 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare. Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others. commonly used in data analysis and machine learning. Hands-on experience developing and deploying machine learning models in real-world applications. Strong understanding of deep learning techniques, especially in the domains of computer vision or NLP is good to have. Intermediate-level experience with MLOps practices and on prem platforms for model deployment. Familiarity with PySpark and Databricks is a plus. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, Strong communication skills to effectively convey complex technical concepts to non-technical. stakeholders. (ref:hirist.tech

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Senior Data Scientist - MLOps/Python

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Keyskills:   Statistical Analysis SQL Python NLP Stakeholder Engagement Machine Learning Optimization Models Data Manipulation Model Development Predictive Modeling Classification Regression Clustering Computer Vision AWS Azure GCP Kubernetes NumPy Problem Solving Statistical Modelling Business Problem Solving Supply Chain Domain Knowledge MLOps Deep Learning Techniques MLOps Practices Data Science Model Deployment Containerized Environments Querying Data Scripting Techniques Knowledge Graph Decision Engines Pandas scikitlearn PySpark Databricks