Axtria - Ingenious Insights | Senior Consultant | noida

4 weeks ago


noida, India Axtria - Ingenious Insights Full time

Job Title:- Market Mix Modeling Associate/Lead

Location: Noida/Gurugram (Hybrid Role)

60% throughout % qualification is mandatory


JOB OBJECTIVE: This role will be responsible for developing commercial analytics for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic areas in-depth expertise, analytical instinct, strategic thinking, and project management.


ROLES AND RESPONSIBILITIES: (May include but are not limited to)

• Able to think analytically and use a systematic and logical approach to analyze data, problems, and situations. Must be able to guide team members in analysis.

• Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis

• Ensure high-quality analytics solutions/reports to the client

• Contribute towards Axtria tools and capabilities as per the business requirements.

• Build organization capabilities by participating in Hackathon, solution design, and process automation

• Effectively communicate with onshore/ client (as per business needs)



REQUIRED EXPERIENCE:

• Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain.

• 3+ years of good hands-on experience in Market Mix Modeling / Promotion Response Modeling using Python or R as the main programming language.

• Strong proficiency in building/training machine learning models and their deployment

• Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering

• Hands-on experience in Python data science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib

• Should have an attitude of willingness to learn, accept the challenging environment, and have confidence in delivering the results within timelines. Should be inclined towards self-motivation and self-driven to find solutions to problems.

• Experience in application of machine learning algorithms (classification, regression, etc.)


Behavioural Competency

o Excellent communication skills (must be able to interface with both technical and business leaders in the organization)

o Strong analytical skills to solve and model complex business requirements are a plus


• Logical Thinking – Able to think analytically, and 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 task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress


Desirable qualities:

• Customer Focus - Dedicated to meeting the expectations of internal and external clients.

• Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions. Probes all fruitful sources for answers. Is excellent at honest analysis. Looks beyond the obvious and doesn't stop at the first answers.

• Learning on the Fly - Learns quickly when facing new problems. A relentless and versatile learner. • Drive for results - Able to set priorities; pursue tasks tenaciously & with a need to finish. Able to overcome setbacks which may occur along the way


About: Axtria 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 leads 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 CustomerIQ™ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations.



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