Senior Data Scientist

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

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. is seeking an experienced Data Scientist to mine AI/ML opportunities from open-ended business problems, closely collaborating with engineering, product and business teams to design and develop data-driven solutions.

You will conduct advanced data mining, robust EDA, and statistical inference, and work across the ML lifecycle from feature engineering to deployment. Proficiency in Python, SQL, PySpark and cloud platforms is highly valued.

Qualifications

• 4–8 years of relevant experience in data science/ML.
• Strong data mining, cleaning and feature engineering skills.
• Proficient in Python and SQL with PySpark experience.
• Experience with cloud platforms and MLOps is a plus.

Responsibilities

• Perform comprehensive data explorations to generate insights and scope the problem.
• Develop scalable analytics solutions addressing business problems with an MVP approach.
• Build reusable code analytics frameworks for common questions.
• Perform 360-degree customer profiling to guide product strategy.

Skills

Python

SQL

PySpark

NoSQL

Shell scripting

Cloud platforms

MLOps

EDA

Experimentation

TensorFlow

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