Associate - Data Science Job in Gurgaon at Axtria

Axtria is hiring for the role of Associate - Data Science!

Responsibilities of the Candidate:

• Craft winning proposals to grow the Data Science Practice.
• Develop and operationalize scalable processes to deliver on large & complex client engagements.
• Ensure profitable delivery and great customer experience – design the end-to-end solution, put together the right team, and deliver as per established processes.
• Build an A team – hire the required skill sets and nurture them in a supporting environment to develop strong delivery teams for the Data Science Practice.
• Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development.
• Write white papers, collaborate with academia, and participate in relevant forums to continuously upgrade self-knowledge & establish Axtria’s thought leadership in this space.
• Research, develop, evaluate, and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space.

Requirements:

• 1-2 years of experience in the data science space – preferably with the end-to-end automated ecosystem including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, and ML operations.
• Ability to translate business questions into analytics techniques (regression classification, NLP, etc.) and interpret outcomes of analytical models into meaningful business insights and actionable recommendations.
• Expertise in data management, data modeling, data quality, dev ops, data migration & data structure integration.
• Expertise in advanced AI/ML algorithms & their applications, NLP, deep learning frameworks, and computer vision. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, TensorFlow.
• Relevant Mastery in Feature Engineering, Feature Selection, and Model Validation on Big Data
• 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 and Power BI.
• Build & train neural network architectures such as CNN, RNN, LSTMs, and Transformers.
• Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designing APIs and exposure to DevOps, React/Angular, containers, and building visualization layer.
• Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Familiarity with Life Sciences is a plus.