Senior Associate- Decision Science

Axtria - Ingenious Insights

Website: axtria.com
Job details:
Position Summary

To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain).

Job Responsibilities

Technical – Able to comprehend complex tasks assigned and executes them with little to no supervision.

Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials.

Task Management – Basic level of project management knowledge and experience. Should be able to plan tasks, discuss and work on priorities.

• Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
• Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift.
• Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Ability to understand tools used by data scientist and experience with software development and test automation.
• Good understanding of advanced AI/ML algorithms & their applications
• Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designing API's and exposure to DevOps, React/Angular, containers, 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
  
  

Communication – Able to convey ideas and information clearly and accurately to self or others whether in writing or verbal.

Education

Bachelor of Engineering in Statistics

Work Experience

Must have Skills: -

• 3+ 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, ML operations
  
  

Skills that give you an edge: -

• Strong analytical skills to solve and model complex business requirements are a plus. With lifesciences or pharma background.
  
  

Behavioural Competencies

Teamwork & Leadership

Motivation to Learn and Grow

Ownership

Cultural Fit

Project Management

Communication

Technical Competencies

Python

R

SQL

EXCEL

MMx

Forecasting

Machine Learning

Pharma Commercial Know How

HEOR EPI and Economic Analysis

HEOR Simulation Analysis

Patient Data Analytics Know How

Dataiku

KNIME

Others Click on Apply to know more.