Associate consultant, data science
3 weeks ago
Work Experience: 4 to 8 Years
Work location: Bengaluru
Work Mode: Hybrid
Must Have Skills: Machine Learning, Clustering, Segmentation, Python
Job Summary:
As a member of Advanced Analytics team, you will be involved in developing and applying statistical methodologies and analyses to set-up, implement and maintain solutions (specifically Segmentation, Clustering, Forecasting and Marketing Mix projects with proficiency in Python, R, Py Spark, SQL, SAS and MS Office) for EMEA countries with focus on Italy & Greece. You will be working in close collaboration with different stakeholders across the globe.
Principal Accountabilities:
Develop a good understanding of consumer offerings, proprietary databases, and analytical approaches to effectively guide and support client-facing stakeholders across globe
Handle small and large datasets on projects efficiently and figure out the right technology for processing the data (e.g. Python, R, SAS etc.,). Be a champion on analytics technologies within the team
Handle projects such as Segmentation & Targeting of Pharmacies/Physicians/Hospitals, Promotional Return (ROI analysis), Resource and Price Optimization analyses
Present findings and recommendations to stakeholders in business point of view
Ability to perform advance analytics using ML algo such as Linear & Non-Linear Regression, Hierarchical model, Bayesian, Time series forecasting, RNN, CNN, LSTM, NLP etc.
Provide support in building Data science/Advance Analytics proposals and presenting the same in front of leadership. Lead discussions and assess the feasibility of AI/ML solutions for business processes and outcome
Ensure efficient and effective project delivery to meet project team and client expectations
Educational Qualification:
An academic background in quantitative sciences (Master’s degree in Statistics, Mathematics, Economics/Econometrics or Bachelor’s degree in Computer Science, Data Science or AI/ML or related fields with a strong focus on quantitative analysis, including an acceptable number of courses in statistical methods and theory) from a well-known institution
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