Associate- Referral - Decision Science / Data Science

Position Summary

This Requisition is for the Employee Referral Campaign.

We are seeking high-energy, driven, and innovative Data Scientists to join our Data Science Practice to develop new, specialized capabilities for Axtria, and to accelerate the company’s growth by supporting our clients’ commercial & clinical strategies.

Job Responsibilities

1. 
   

   Be an Individual Contributor to the Data Science team and solve real-world problems using cutting-edge capabilities and emerging technologies.

   
   


2. 
   

   Help clients translate the business use cases they are trying to crack into data science solutions. Provide genuine assistance to users by advising them on how to leverage Dataiku DSS to implement data science projects, from design to production.

   
   


3. 
   

   Data Source Configuration, Maintenance, Document and maintain work-instructions.

   
   


4. 
   

   Deep working on machine learning frameworks such as TensorFlow, Caffe, Keras, SparkML

   
   


5. 
   

   Expert knowledge in Statistical and Probabilistic methods such as SVM, Decision-Trees, Clustering

   
   


6. 
   

   Expert knowledge of python data-science and math packages such as NumPy , Pandas, Sklearn

   
   


7. 
   

   Proficiency in object-oriented languages (Java and/or Kotlin),Python and common machine learning frameworks(TensorFlow, NLTK, Stanford NLP, Ling Pipe etc

   
   


8. Experience in IOS Developer and React Native


9. Experience in Fullstack, React and Python

Education

Work Experience

Data Scientist: 3-6 years of relevant experience in advanced statistical and mathematical models and predictive modeling using Python. Experience in the data science space prior relevant experience in Artificial intelligence and machine Learning algorithms for developing scalable models supervised and unsupervised techniques like NLP and deep Learning Algorithms. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, and TensorFlow. 

ML Ops Engineering: 3-6 years of experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, Airflow, etc., experience with Docker and Kubernetes, OpenShift. Prior experience in end-to-end automated ecosystems including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, and ML operations. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure, or GCP).

Gen AI : Minimum of 4-6 years develop, test, and deploy Python based applications on Azure/AWS platforms. Must have basic knowledge on concepts of Generative AI / LLMs / GPT. Deep understanding of architecture and work experience on Web Technologies. Python, SQL hands-on experience. Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT.

IOS Developer : 3+ years of experience in IOS mobile development and 5+ in React Native. Strong background working with React Native tools. 

Fullstack Developer : 3-6 years experience to develop, test and deploy React, Javascript, Python based applications on Azure/AWS platforms. Must have experience working on frontend and backend technologies. Experience on React and Python is a must.