Rebel Foods - Data Scientist - Deep Learning/Machine Learning (1-2 yrs)

The Role :

We are in the lookout for someone who can come on board to solve known/unknown business & customer use cases through data platform and data science.

In this role, you must have a passion for research and data to solve problems at scale for both customers and the businesses. You should also be passionate about solving real business problems by closing the loop from Data

Science inputs, implementing interventions in business, tracking results and improving the inputs through feedback loop. You should be highly proficient with the following skillsets -

- Data Science- Machine learning (regression, classification, random forest, k nearest etc), Deep learning (Neural Networks, Tensorflow/Keras etc), AI, Statistics, SQL/NoSQL DBs, NLP, Semantic & Sentiment analysis, Predictive Modeling

- Data Analytics - Data visualization (Reporting/MIS/BI) Tools, SQLs, ETLs

- We expect you to be excellent in writing efficient programs (Python/R/Java etc) and problem-solving skills.

- You will work closely with the Business, Product and Engineering teams and will be directly part of the business team.

Specific Qualifications :

Minimum of 6months - 2 years Data Science experience in the industry with Bachelors, or Master's or Ph.D. in Data

Science, Computer Science, Statistics, Mathematics.

- Strong working knowledge of a variety of machine learning techniques (Regression, Classification, Clustering, Neural Networks, Bayesian models etc.)

- Proficient in Python, SQL, and machine learning libraries (e.g., TensorFlow,scikit-learn).

- Experience in working with varied data types (structured and unstructured) and databases

- Experience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMaker

- Solid understanding of data wrangling, feature engineering, and working with structured and unstructured data.

- Experience with MLOps Frameworks like Kubeflow/MLFlow,/Airflow etc., experience with Docker and Kubernetes

- Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions

- Excellent problem-solving skills with a demonstrated ability to think analytically and strategically

- Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.

Good-to-have :

- Experience solving NLP-based problems or working with LLMs / prompt engineering

- Working with non-tech stakeholders and explaining ML performance in simple language

- A love of food (Yes, we have regular tasting sessions at office!)