Senior Data Scientist

Intellectual Capital HR Consulting Pvt. Ltd.; Nagpur District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. is seeking a data science professional with 4–8 years of experience to mine AI/ML opportunities from open-ended business problems.

You will collaborate closely with engineering, product and business teams to design, develop and deploy data-driven solutions, with strong Python and SQL skills and deep learning exposure. The role emphasizes EDA, statistical inference, and scalable ML pipelines across AWS/Azure/GCP ecosystems, with an MVP approach to

Qualifications

• 4–8 years of relevant data science/ML experience.
• Strong Python, SQL, and PySpark proficiency.
• Experience with data mining, EDA and statistical inference.
• Experience in experimentation design and A/B testing fundamentals.
• Exposure to ML lifecycle deployment, monitoring and feedback loops.
• Experience with cloud platforms and ML ops.
• Experience with NoSQL databases and unstructured data handling.
• Exposure to deep learning frameworks (TensorFlow, Theano, Torch, Caffe).

Responsibilities

• Perform comprehensive data explorations to generate insights and scope the problem.
• Develop MVP to advanced analytics solutions addressing business KPIs.
• Build reusable analytical frameworks for common questions.
• Conduct 360-degree customer profiling to guide product strategy.
• Collaborate with engineering, product and business teams to drive solutions.

Skills

Python

SQL

PySpark

NoSQL

Cloud platforms

MLOps

Data mining

EDA

Experimentation design

Deep learning

TensorFlow

Theano

Torch

Caffe

Shell scripting

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