Senior Data Scientist

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.

Key Responsibilities:

• More than 5 years of overall experience.
• Potential Risks and Constraints, 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.

Desired Profile:

• 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 Large Datasets.
• 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 Tensor Flow, 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.

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