Senior Data Scientist

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

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. invites applications for a data science/ML role.

You will mine AI/ML opportunities from open-ended business problems, collaborate with engineering, product and business teams, and design scalable data-driven solutions. The ideal candidate has 4-8 years of relevant experience, strong SQL and Python, experience with data mining, EDA, ML lifecycle, and exposure to cloud platforms (AWS/Azure/GCP). Knowledge of NoSQL and PySpark is a plus.

Qualifications

• 4-8 years of relevant experience in data science / ML roles.
• Expertise in mining AI/ML opportunities from open-ended business problems and drive solution design with cross-functional teams.
• Strong understanding of advanced data mining techniques, data curation, processing and transformation for sound datasets.
• Create data stories with robust EDA and statistical inference; familiarity with experimentation design (A/B testing a big plus).
• Solid understanding of the ML lifecycle: feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback.

Responsibilities

• Perform comprehensive data explorations to generate insights and scope problems.
• Develop scalable solutions with an MVP approach to impact business KPIs.
• Build reusable analytical frameworks for common business questions.
• Conduct 360-degree customer profiling to guide product strategy.
• Collaborate closely with engineering, product, and business teams.

Skills

AI/ML expertise

Data mining

EDA & statistics

Experimentation design

ML lifecycle

Deep learning tools

Python

Shell scripting

SQL

PySpark

NoSQL databases

AWS/Azure/GCP

MLOps

A/B testing fundamentals

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