About the Role
As a Senior Data Scientist you will play a critical role in strategic and inquisitive to Develop and run with Data-Centered Projects. You will be responsible for Developing all aspects of Datamining, Predictive Analytics, Solution Development to name a few.
More than 5 years of overall experience.
Potential Risks and Constraints &amp; execute the Projects/Tasks Independently.
Translate the Business Program into a solvable Data Science Problem, propose different approaches and their Pros and Cons.
Identify, Analyse and Interpret Trends or Patterns in Complex Data Sets.
Build Market Mix Models (MMM), Multi-Touch Attribution Models (MTA), Optimize
Marketing Spend and Come Up with Implementable Recommendations and Strategy/Plan.
Good Written, Verbal, and Presentation Skills with the ability to generate and present meaningful Insights skills & competencies
4-5 Years of Professional Experience in Advanced Data Science focused on, Econometric
Modelling, Marketing Analytics, Market Mix modelling, Multi-touch Attribution, Micro
Segment Attribution, Unified Measurement, Marketing Budget Optimization, TV Attribution etc.
Ability to Analyse Complex Data and provide Recommendations to Business.
Proficient with Statistical Analysis, AI/ML Algorithms & applying them on LargeDatasets.
Establish Scalable, Efficient Solutions for large scale Data Analysis, AI/ML Model
Development, AI/ML Model Validation, AI/ML Model Implementation and AI/ML Model Automation (MLOps).
Excellent proficiency in Core Python Fundamentals, Python Programming, and other relevant Python Frameworks (such as Django, Flask etc.), Object Relational Mapper Libraries, Pyspark, Scala & SQL.
Strong Knowledge in AI/ML/DL Techniques, Algorithms, and Tools with exposure to OLS Regression/Multiple Linear Regression, Classification (Logistic Regression, Random Forest, XGBoost), Linear Attribution model, Time Decay Attribution, BG/NBD, Markov Chain, Shapley Additive Explanations, CNN, RNN (LSTM), Transformers (BERT) etc.
Proficiency in working with Open-Source Deep Learning libraries like TensorFlow,Keras, Pytorch.
Demonstrated ability to work Independently.
Proven ability to Visualize Data for Influencing.
Comfortable with Cloud-Based Platforms (AWS, Azure, Google).
Experience in Digital Marketing (Web & App) is a must.
Experience with Google Analytics, Adobe Analytics etc. is a plus.
Proficient in communicating technical findings to Non-Technical Stakeholders.
Communicate Complex Data or Algorithms into simple Conclusions that will empower.
Leadership to drive action based on the Insights derived.
Strong Presentation and Communication Skills.