Manager - Referral Hiring - Decision Science / Data Science

Job Responsibilities

• 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 skills 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.

Education

Bachelor Equivalent - Other

PG Diploma in Management

Work Experience

Data Scientist : 6-15 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 : 6-15 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 : 6-15 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 : 6+ years of experience in IOS mobile development and 5+ in React Native. Strong background working with React Native tools.

Fullstack Developer : 6-15 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.

Technical Competencies

ML Data Science

ML Ops

ML engineering

Pharma

Python

PySpark

AWS Data Pipeline

AWS EMR

AIML

NLP

Behavioural Competencies

Ownership

Teamwork & Leadership

Talent Management

Cultural Fit

Motivation to Learn and Grow

Project Management

Skills Required

Airflow, React, Pyspark, Html, Tensorflow, Javascript, Docker, Openshift, Flask, Python, Aws, Ms Azure, Django, Gcp, Keras, Kubernetes