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
- Good 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 opportunities
- 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