AI-ML Modeler - Data Science CoE
IntroductionAxtria 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.
We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.
Since our founding in 2010, technology innovation has been our winning differentiation.
We continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning.
Our cloud-based platforms - Axtria DataMAx , Axtria SalesIQ , Axtria InsightsMAx , and Axtria MarketingIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations.
We help customers in the complete journey from Data to Insights to Operations.
With customers in over 75
countries, Axtria is one of the biggest global commercial solutions providers in the Life Sciences industry.
We continue to win industry recognition for growth and are featured in some of the most aspirational lists - Inc.
5000, Deloitte Technology Fast 500 , NJBIZ Fast 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.
Axtria is looking for exceptional talent to join our rapidly growing global team.
People are our biggest perk! Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry.
Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment.
A customized career progression plan ensures every associate is setup for success and able to do meaningful work in a fun environment.
We want our legacy to be the leaders we produce for the industry.
Will you be next?We are currently hiring for Senior Data Scientist at Manager / Sr.
Manager / Associate Director level professionals for our Decision Science practice in Berkeley Heights, NJSuccess in this position requires:
Candidates will be expected to be familiar with the application of data science and advanced analytics to business problems for functional areas within Biopharma/Oncology, relating to Sales and Marketing and/or Medical Affairs, such as:
- Patient analytics using Real-World Data (RWD) sources such as anonymized longitudinal patient claims data, lab/diagnostic testing data, etc.
Predictive models at the anonymized patient level and/or provider level, using RWD sources such as claims data and/or electronic health records (EHR) data using large datasets and advanced AI/ML algorithms and tools.
Descriptive patient-level analyses such as patient journeys using RWD datasets such as claims and/or EHR data.
Provider/account Segmentation, Targeting, Promotion Response Modeling, Marketing Mix Optimization, Digital Analytics.
Responsibilities:
Collaborate with stakeholders to understand business objectives and requirements for predictive modeling projects.
Design and develop statistical models and algorithms to predict and analyze key business metrics and trends and optimize customer experience and improve business outcomes.
Be able to coach the team to clean, preprocess, and transform large datasets to prepare them for model development.
Conduct exploratory data analysis to identify patterns, trends, and relationships in the data.
Select and apply appropriate modeling techniques, such as regression analysis, machine learning algorithms, clustering, neural nets, random forests, deep learning algorithms etc.
Be able to coach the data science teams on the right modeling methodologies to deploy; how model performance can be enhanced; how model design can be improved.
Validate and refine models using various evaluation techniques, including cross-validation, hypothesis testing, and performance metrics.
Interpret model results and present findings to technical and non-technical stakeholders in a clear and concise manner.
Collaborate with data engineers to ensure seamless integration of models into production systems.
Stay up-to-date with industry trends and advancements in predictive modeling and data science techniques.
Required Skills/
Experience:
Minimum 6 years of professional industry experience Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Data Science, or a related discipline.
Proven experience in developing and implementing predictive models in a professional setting.
Strong proficiency in statistical analysis and modeling techniques, such as linear regression, logistic regression, decision trees, random forests, clustering, deep learning algorithms, boosting, text mining, NLP, social network analysis, etc.
Understanding of Patient data/ Claims data/ Patient Analytics is must Proficiency in programming languages such as PySpark & Python is a must.
Solid understanding of database systems and SQL for data retrieval and manipulation.
Strong problem-solving and analytical skills, with the ability to translate business requirements into actionable models.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Experience with big data technologies (e.
g.
, Hadoop, Spark) and cloud platforms (e.
g.
, AWS, Azure) is a plus.
Knowledge of the pharmaceutical or healthcare industry.
Logistics and Location:
We are hiring for Berkeley Heights, NJ U.
S.
Citizens and those authorized to work in the U.
S.
are encouraged to apply.
Flexibility to travel and/or relocate within the US as per project requirements.
AI-ML Modeler - Data Science CoE Recommended Skills Algorithms Analytical Apache Hadoop Apache Spark Big Data Business Planning Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
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on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3r4xh6b246rtgh8bpy', 'ExternalApply-j3r4xh6b246rtgh8bpy'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients.
We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.
Since our founding in 2010, technology innovation has been our winning differentiation.
We continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning.
Our cloud-based platforms - Axtria DataMAx , Axtria SalesIQ , Axtria InsightsMAx , and Axtria MarketingIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations.
We help customers in the complete journey from Data to Insights to Operations.
With customers in over 75
countries, Axtria is one of the biggest global commercial solutions providers in the Life Sciences industry.
We continue to win industry recognition for growth and are featured in some of the most aspirational lists - Inc.
5000, Deloitte Technology Fast 500 , NJBIZ Fast 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.
Axtria is looking for exceptional talent to join our rapidly growing global team.
People are our biggest perk! Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry.
Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment.
A customized career progression plan ensures every associate is setup for success and able to do meaningful work in a fun environment.
We want our legacy to be the leaders we produce for the industry.
Will you be next?We are currently hiring for Senior Data Scientist at Manager / Sr.
Manager / Associate Director level professionals for our Decision Science practice in Berkeley Heights, NJSuccess in this position requires:
Candidates will be expected to be familiar with the application of data science and advanced analytics to business problems for functional areas within Biopharma/Oncology, relating to Sales and Marketing and/or Medical Affairs, such as:
- Patient analytics using Real-World Data (RWD) sources such as anonymized longitudinal patient claims data, lab/diagnostic testing data, etc.
Predictive models at the anonymized patient level and/or provider level, using RWD sources such as claims data and/or electronic health records (EHR) data using large datasets and advanced AI/ML algorithms and tools.
Descriptive patient-level analyses such as patient journeys using RWD datasets such as claims and/or EHR data.
Provider/account Segmentation, Targeting, Promotion Response Modeling, Marketing Mix Optimization, Digital Analytics.
Responsibilities:
Collaborate with stakeholders to understand business objectives and requirements for predictive modeling projects.
Design and develop statistical models and algorithms to predict and analyze key business metrics and trends and optimize customer experience and improve business outcomes.
Be able to coach the team to clean, preprocess, and transform large datasets to prepare them for model development.
Conduct exploratory data analysis to identify patterns, trends, and relationships in the data.
Select and apply appropriate modeling techniques, such as regression analysis, machine learning algorithms, clustering, neural nets, random forests, deep learning algorithms etc.
Be able to coach the data science teams on the right modeling methodologies to deploy; how model performance can be enhanced; how model design can be improved.
Validate and refine models using various evaluation techniques, including cross-validation, hypothesis testing, and performance metrics.
Interpret model results and present findings to technical and non-technical stakeholders in a clear and concise manner.
Collaborate with data engineers to ensure seamless integration of models into production systems.
Stay up-to-date with industry trends and advancements in predictive modeling and data science techniques.
Required Skills/
Experience:
Minimum 6 years of professional industry experience Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Data Science, or a related discipline.
Proven experience in developing and implementing predictive models in a professional setting.
Strong proficiency in statistical analysis and modeling techniques, such as linear regression, logistic regression, decision trees, random forests, clustering, deep learning algorithms, boosting, text mining, NLP, social network analysis, etc.
Understanding of Patient data/ Claims data/ Patient Analytics is must Proficiency in programming languages such as PySpark & Python is a must.
Solid understanding of database systems and SQL for data retrieval and manipulation.
Strong problem-solving and analytical skills, with the ability to translate business requirements into actionable models.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Experience with big data technologies (e.
g.
, Hadoop, Spark) and cloud platforms (e.
g.
, AWS, Azure) is a plus.
Knowledge of the pharmaceutical or healthcare industry.
Logistics and Location:
We are hiring for Berkeley Heights, NJ U.
S.
Citizens and those authorized to work in the U.
S.
are encouraged to apply.
Flexibility to travel and/or relocate within the US as per project requirements.
AI-ML Modeler - Data Science CoE Recommended Skills Algorithms Analytical Apache Hadoop Apache Spark Big Data Business Planning Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
external-apply-email-saved').
on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3r4xh6b246rtgh8bpy', 'ExternalApply-j3r4xh6b246rtgh8bpy'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
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