Senior Data Scientist

Intellectual Capital HR Consulting Pvt. Ltd.; New Delhi; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. seeks an experienced ML/AI specialist to turn open-ended business problems into robust data science solutions.

You will mine data, perform robust exploratory data analysis, and collaborate with engineering, product and business teams to drive measurable impact. You will own end-to-end data work from exploration to deployment, including feature engineering, model validation and monitoring.

Qualifications

• 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 with cross-functional teams.
• Strong understanding of advanced data mining techniques and data processing.
• Experience with EDA, statistical inference, and experimentation design (A/B testing a big plus).
• Strong ML lifecycle knowledge: feature engineering, training, validation, deployment, monitoring.
• Exposure to DL applications with TensorFlow, Theano, Torch, Caffe is a plus.
• Proficient in Python, Shell scripting, SQL; PySpark experience; NoSQL databases; unstructured data handling preferred.
• Experience with AWS/Azure/GCP ecosystems; MLOps tools experience a plus.

Responsibilities

• Perform comprehensive data explorations to generate insights and scope problems.
• Develop scalable solutions to address business questions with MVP approaches.
• Build reusable analytical frameworks for recurring questions.
• Conduct 360-degree customer profiling to guide product strategy.

Skills

Python

SQL

PySpark

NoSQL

Shell scripting

A/B testing

ML lifecycle

Data mining

Cloud platforms (AWS/Azure/GCP)

ML tooling (TensorFlow/Theano/Caffe/To

Tools

TensorFlow

Theano

Torch

Caffe

PySpark

NoSQL databases

Job description

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