We are seeking high-energy, driven, and cutting-edge 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
- Be an Individual Contributor to the Data Science team and solve real-world problems using cutting-edge capabilities and emerging technologies.
- 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.
- Data Source Configuration, Maintenance, Document and maintain work-instructions .
- Deep working on machine learning frameworks such as TensorFlow, Caffe, Keras, SparkML.
- Expert knowledge in Statistical and Probabilistic methods such as SVM, Decision-Trees, Clustering.
- Expert knowledge of python data-science and math packages such as NumPy, Pandas, Sklearn.




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

Education
- Bachelor Equivalent - Engineering
- Master's Equivalent - Engineering

Work Experience
- Data Scientist:
- 3-5 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.
- Experience in delivering data science projects leveraging cloud infrastructure.
- Familiarity with cloud technology such as AWS / Azure and knowledge of AWS tools such as S3, EMR, EC2, Redshift, and Glue; viz tools like Tableau

📌 Manager- Referral (Gurugram)
🏢 Axtria
📍 Gurugram