Senior Data Scientist

Intellectual Capital HR Consulting Pvt. Ltd.; Chandigarh; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. is seeking a data science/ML specialist with 4-8 years of hands-on experience.

You will mine AI/ML opportunities from open-ended business problems, design solutions with cross-functional teams, and craft robust data-driven storytelling through EDA and statistical inference. The role involves operating across the ML lifecycle, including feature engineering, training, deployment, monitoring, and feedback, with exposure to DL tools like TensorFlow,

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
• 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

Responsibilities

• Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem.
• Develop simplistic to advanced solutions to address the problem and drive MVP-based impact on business KPIs.
• Build reusable code frameworks to address common business questions.
• Perform 360-degree customer profiling and opportunity analyses to guide new product strategy.

Skills

Python

SQL

PySpark

NoSQL

AWS/Azure/GCP

MLOps

Shell scripting

EDA

Experimentation / A/B testing

ML lifecycle

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