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Bees at Work

Senior Data Scientist

Bengaluru, Karnataka, India

Job Type

Full Time

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.

Requirements

  • 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

Skills

  • 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.

About Us

Scienaptic is the world’s leading AI powered Credit Underwriting platform company. We are on a mission to increase credit availability by transforming technology used in
credit decisioning.Over 150 years of credit experience is embedded in our AI native credit decision
platform. Our clients across banks, credit unions, fintech, and other lenders use the platform to
constantly improve the quality of underwriting decisions. This enables them to say ‘yes’ to
borrowers more often and faster.

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