Senior Data Scientist

Intellectual Capital HR Consulting Pvt. Ltd.; Coimbatore District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. seeks an experienced data science professional to mine AI/ML opportunities from open-ended business problems and drive solution design in collaboration with engineering, product and business teams.

You will perform robust EDA, create sound datasets and build scalable ML solutions, emphasizing executable MVPs and impact on KPIs. Strong focus on data storytelling and profiling to guide product strategy.

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 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
• Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem
• 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
• Build re-usable code analytical frameworks to address commonly occurring business questions
• 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

Responsibilities

• Mine AI/ML opportunities from open-ended business problems and drive solution design with cross-functional teams.
• Perform robust EDA, create data-driven datasets, and communicate insights through data storytelling.
• Design and implement MVPs and scalable ML solutions aligned to business KPIs.
• Build reusable analytical frameworks for recurring questions and problems.
• Profiles customers end-to-end to guide product strategy and identify growth opportunities.

Skills

Python

SQL

PySpark

NoSQL

ML lifecycle

Data storytelling

Experimentation design

Shell scripting

Cloud platforms

MLOps

Tools

TensorFlow

Theano

Torch

Caffe

AWS

Azure

GCP

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