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Posted 1mo ago

Senior Associate- Decision Science (10765)

@ Axtria
View All Jobs
Gurgaon, Haryana, India
OnsiteFull Time
Responsibilities:designing cloud solutions, building ML pipelines, deploying scalable models
Requirements Summary:3+ years in data science with end-to-end analytics, ML models, and MLOps; Python/SQL; life sciences domain preferred.
Technical Tools Mentioned:Python, SQL, Excel, R, Docker, Kubernetes, Dataiku, KNIME, Alteryx, MLflow, Kubeflow, scikit-learn, Keras, PyTorch, TensorFlow
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Job Description

Career Opportunities: Senior Associate- Decision Science (10765)

Requisition ID 10765 - Posted  - Gurgaon, Tower B (Floor 11), CC





































 


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

    • 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

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

Skills










 
































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Requisition ID 10765 - Posted  - Gurgaon, Tower B (Floor 11), CC


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

    • 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

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

Skills



Email this job to a friend
 
The job has been sent to
 
The job has been sent to


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

    • 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

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

Skills