Senior Data Scientist

Intellectual Capital HR Consulting Pvt. Ltd.; Mumbai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. is seeking a seasoned data scientist to mine AI/ML opportunities from open business problems and to design scalable solutions in collaboration with engineering, product, and business teams.

You will perform robust EDA, build data products, and drive MVP initiatives to move KPIs. Strong Python/SQL skills and experience with cloud platforms are required; experience with MLops is a plus.

Qualifications

• 4-8 years of relevant experience.
• Strong SQL and Python proficiency.
• Experience in data mining and data storytelling with robust EDA.
• Experience with ML lifecycle and deployment.
• Exposure to Deep Learning and tools like TensorFlow, Theano, Torch, Caffe is a plus.

Responsibilities

• Mine AI/ML opportunities from business problems and design solutions.
• Perform comprehensive data explorations to generate insights.
• Develop MVP data products to address problems and impact KPIs.
• Build reusable analytical frameworks for common business questions.
• Profile customers to guide product strategy in a nascent business.

Skills

Python

SQL

Shell scripting

PySpark

NoSQL

Data mining

EDA

Experimentation design

Machine Learning lifecycle

A/B testing fundamentals

Deep Learning

Cloud platforms

MLOps

Business problem solving

Tools

TensorFlow

Theano

Torch

Caffe

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