Strategic Data Science Leader
1 week ago
Axtria - Ingenious Insights is seeking a high-energy, driven and innovative Data Science Director to join our Data Science Practice. This role requires a seasoned professional with extensive experience in delivering data science projects leveraging cloud infrastructure.
About the Company
Axtria - Ingenious Insights is a global provider of cloud software and data analytics to the life sciences industry. We help life sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients.
About the Role
We are looking for an experienced Data Science Director to lead our Data Science Practice. The ideal candidate will have 15+ years of experience in the data science space and expertise in advanced AI/ML algorithms & their applications, NLP, deep learning frameworks, computer vision. Additionally, they should have experience in delivering data science projects leveraging cloud infrastructure and familiarity with cloud technology such as AWS / Azure.
Key Responsibilities
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
Research, develop, evaluate, and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space
Collaborate with academia and participate in relevant forums to continuously upgrade self-knowledge & establish Axtria's thought leadership in this space
Requirements
Post-graduation or PhD in Computer Science is a must
15+ 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
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, 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 and familiarity with cloud technology such as AWS / Azure
Compensation Package
This role comes with a competitive salary range of $180,000 - $250,000 per annum, depending on experience, plus benefits and bonuses.
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