Senior Data Scientist

Intellectual Capital HR Consulting Pvt. Ltd.

Chennai District

On-site

INR 1,500,000 - 2,500,000

Full time

6 days ago
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Job summary

Intellectual Capital HR Consulting Pvt. Ltd. in Chennai seeks an experienced data scientist to mine AI/ML opportunities from open-ended business problems and drive solution design with engineering, product, and business teams.

You will curate and transform data, perform robust EDA, and apply statistical inference. Proficiency in Python, SQL, PySpark, and exposure to cloud ML ecosystems is required; NoSQL and MVP-driven approaches are valued.

Qualifications

  • 4-8 years of relevant experience.
  • Expertise in mining AI/ML opportunities from open-ended business problems and drive solution design/development.
  • 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. Exposure to A/B testing fundamentals is a plus.
  • Strong understanding of the ML lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
  • Experience with analytical programming languages and tools (Python a must) as well as Shell scripting.
  • Very proficient in SQL and other relational databases. Proficient in PySpark. Experience with NoSQL databases and unstructured data handling preferred.
  • Experience in AWS/Azure/GCP ecosystems. MLOps tools experience a plus.
  • Develop 360-degree customer profiling and opportunity analyses to guide new product strategy.

Responsibilities

  • Perform comprehensive data explorations to generate inquisitive insights and scope out the problem.
  • Develop solutions to address the problem with an MVP approach to impact business KPIs.
  • Build reusable code analytical frameworks for common questions.
  • Guide data-driven product strategy through analytics and insights.

Skills

Python
Shell scripting
SQL
PySpark
NoSQL databases
AWS/Azure/GCP
MLOps
EDA and statistics

Education

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
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