Senior Data Scientist

Intellectual Capital HR Consulting Pvt. Ltd.; Khordha; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

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

You will collaborate with engineering, product, and business teams to design and develop solutions, perform robust data mining, and deliver actionable insights through strong EDA and storytelling. The role requires Python, SQL, PySpark, and experience with distributed data processing on AWS/Azure/GCP.

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 understand 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 to generate actionable insights and scope the problem.
• Develop scalable MVP solutions addressing business KPIs.
• Build reusable analytical frameworks for common business questions.
• Conduct 360-degree customer profiling to guide new product strategy.

Skills

Python

SQL

PySpark

NoSQL

AWS/Azure/GCP

EDA

Experimentation design

ML lifecycle

Shell scripting

TensorFlow/Theano/Torch/Caffe

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