Job Description:

Advanced degree in an analytical field (e.g., Data Science, Computer Science,

Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands

on work experience in the space
3.5 - 7 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
Robust 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. Candidate who is able to handle

unstructured data with ease preferred
Experience in working with AWS/Azure/GCP ecosystems. MLOps tools

experience a plus
Valuable understanding of programming best practices and building code artifacts

for reuse. Should be comfortable with version controlling and collaborate

comfortably in tools like git
Ability to create frameworks that can perform model RCAs using analytical and

interpretability tools. Should be able to peer review model

documentations/code bases and find prospects
Experience in end-to-end delivery of AI driven Solutions (Deep learning ,

traditional data science projects) a big plus
Strong communication, partnership and teamwork skills
Ability to work in

📌 Data Scientist Bengaluru
🏢 Acura Solution
📍 Bengaluru