Senior Data Scientist

Intellectual Capital HR Consulting Pvt. Ltd.; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. is seeking a data-driven ML engineer to mine AI/ML opportunities from open-ended business problems. You will collaborate with engineering, product, and business teams to design and implement data-driven solutions.

We require 4–8 years of relevant experience, strong Python and SQL skills, PySpark, and familiarity with data mining, EDA, and MVP-based solution development. Cloud exposure and MLOps are a bonus.

Qualifications

• 4-8 years of relevant experience in data mining/ML
• Strong data mining techniques and data prep for datasets
• Proficient in Python and SQL; PySpark and NoSQL experience preferred
• Experience in EDA and statistical inference; basic A/B testing knowledge
• Understanding ML lifecycle: feature engineering, training, deployment, monitoring
• Exposure to deep learning tools like TensorFlow/Theano/Torch/Caffe a plus
• Experience with cloud ecosystems (AWS/Azure/GCP); MLOps familiarity a bonus

Responsibilities

• Identify AI/ML opportunities from open-ended business problems and drive design with engineering/product teams
• Perform comprehensive data explorations to generate actionable insights
• Develop scalable analytic solutions with an MVP approach to impact KPIs
• Build reusable code frameworks for common business questions
• Conduct 360-degree customer profiling to guide product strategy

Skills

Python

SQL

PySpark

NoSQL

Shell

Deep Learning

A/B Testing

ML Lifecycle

Cloud Platforms

MLOps

Data Mining

EDA

Tools

TensorFlow

Theano

Torch

Caffe

PySpark

SQL

NoSQL

Shell scripting

AWS

Azure

GCP

MLOps

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