Senior Data Scientist

Intellectual Capital HR Consulting Pvt. Ltd.; Lucknow; Presencial; INR 1.200.000 - 2.400.000; Jornada completa

Descripción de la vacante

We are seeking an experienced data scientist/ML engineer to join a high-impact analytics team in India. The role requires 4–8 years of experience, expertise in mining AI/ML opportunities from open-ended business problems, and collaboration with engineering, product and business teams.

You'll master the ML lifecycle from feature engineering to deployment, work with TensorFlow, PyTorch, Theano, and Caffe, and use Python, SQL, PySpark, and NoSQL to build robust datasets and insights.

Formación

• 4–8 years of relevant experience in the space.
• Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development.
• Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.
• Create great data stories with expertise in robust EDA and statistical inference; knowledge of A/B testing a big plus.
• Strong understanding of the ML lifecycle—feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
• Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is a big plus.
• Experience with Python and Shell scripting.
• Very proficient in SQL and other relational databases; PySpark experience; NoSQL databases; unstructured data handling preferred.
• Experience with AWS/Azure/GCP ecosystems; MLOps experience a plus.

Responsabilidades

• Perform comprehensive data explorations to generate inquisitive insights and scope the problem.
• Develop simplistic to advanced solutions addressing the problem with an MVP mindset to impact KPIs.
• Build reusable code analytic frameworks for common business questions.
• Perform 360-degree customer profiling and opportunity analyses to guide product strategy.

Conocimientos

4-8 years experience

AI/ML

Data mining

EDA & statistics

Experiment design

ML lifecycle

Python

Shell scripting

SQL

PySpark

NoSQL

AWS/GCP/Azure

MLOps

Deep learning basics

Herramientas

TensorFlow

Theano

Torch

Caffe

PyTorch

PySpark

AWS

GCP

Azure

Descripción del empleo

Role & responsibilities

• 4 - 8 Years of relevant experience in the space
• Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams
• Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets
• Create great data stories with expertise in robust EDA and statistical inference. Experience in Experimentation design a big plus but should understands fundamentals of A/B testing
• Strong understanding of the Machine Learning lifecycle - feature engineering,
• training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is a big plus
• Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting
• Very proficient is SQL and other relational databases. Proficient in PySpark. Experience in using NoSQL databases. able to handle unstructured data with ease preferred
• Experience in working with AWS/Azure/GCP ecosystems. MLOps tools experience a plus
• 2.
• Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem
• 3.
• Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development
• 4.
• Build re-usable code analytical frameworks to address commonly occurring business questions
• 5.
• Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty